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International Journal of Imaging Systems and Technology, Volume 32
Volume 32, Number 1, January 2022
- Mohamed L. Seghier
:
Ten simple rules for reporting machine learning methods implementation and evaluation on biomedical data. 5-11 - Isaac Shiri
COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images. 12-25 - Emine Cengil
The effect of deep feature concatenation in the classification problem: An approach on COVID-19 disease detection. 26-40 - Sheikh Rafiul Islam, Santi P. Maity
Deep learning on compressed sensing measurements in pneumonia detection. 41-54 - Safa Ben Atitallah
Randomly initialized convolutional neural network for the recognition of COVID-19 using X-ray images. 55-73 - Yu Fu
3D multi-resolution deep learning model for diagnosis of multiple pathological types on pulmonary nodules. 74-87 - Shubham Dodia
A novel receptive field-regularized V-net and nodule classification network for lung nodule detection. 88-101 - Nasrin Amini
Automatic classification of severity of COVID-19 patients using texture feature and random forest based on computed tomography images. 102-110 - Prabhakar Agarwal
Electroencephalography based imagined alphabets classification using spatial and time-domain features. 111-122 - Kwabena Adu
The influence of the activation function in a capsule network for brain tumor type classification. 123-143 - Bo Fu
Learning domain transfer for unsupervised magnetic resonance imaging restoration and edge enhancement. 144-154 - Muhammed Yildirim
Classification with respect to colon adenocarcinoma and colon benign tissue of colon histopathological images with a new CNN model: MA_ColonNET. 155-162 - Junghyun Song
Comparative analysis of the kernel types in generalized autocalibrating partially parallel acquisition algorithms for accelerated three-dimensional magnetic resonance spectroscopic imaging data. 163-177 - Yaru Wang
Conductivity characteristics of human lung tissues. 178-191 - Sujit Kumar Das
Recognition of ischaemia and infection in diabetic foot ulcer: A deep convolutional neural network based approach. 192-208 - Hui Huang
Mask RCNN algorithm for nuclei detection on breast cancer histopathological images. 209-217 - Belal Ahmad
An ensemble model of convolution and recurrent neural network for skin disease classification. 218-229 - Deepa Natarajan
A deep learning framework for glaucoma detection based on robust optic disc segmentation and transfer learning. 230-250 - Ridhma
Automated measurement of sulcus angle on axial knee magnetic resonance images. 251-265 - Ying Zou
Breast cancer histopathological image classification using attention high-order deep network. 266-279 - Pallavi Asthana
Classification of brain tumor from magnetic resonance images using probabilistic features and possibilistic Hanman-Shannon transform classifier. 280-294 - Yanyan Shi, Zhiwei Tian, Meng Wang
Reconstruction of conductivity distribution with a compound variational strategy in electrical impedance tomography. 295-306 - Sadia Anjum, Lal Hussain
Detecting brain tumors using deep learning convolutional neural network with transfer learning approach. 307-323 - Arbab Sufyan
A novel multimodality anatomical image fusion method based on contrast and structure extraction. 324-342 - Yigit Ali Üncü
Approaches to preclinical studies with heterogeneous breast phantom using reconstruction and three-dimensional image processing algorithms for diffuse optical imaging. 343-353 - Gunjan Rajput
An accurate and noninvasive skin cancer screening based on imaging technique. 354-368 - Xiaoming Liu
Uncertainty-guided self-ensembling model for semi-supervised segmentation of multiclass retinal fluid in optical coherence tomography images. 369-386 - Lamiaa Abdel-Hamid
TWEEC: Computer-aided glaucoma diagnosis from retinal images using deep learning techniques. 387-401 - Ashokkumar S. R
Emotion identification by dynamic entropy and ensemble learning from electroencephalogram signals. 402-413
Volume 32, Number 2, March 2022
- Shamik Tiwari
A lightweight capsule network architecture for detection of COVID-19 from lung CT scans. 419-434 - Mehmet Kalayci, Hakan Ayyildiz, Seda Arslan Tuncer
Can laboratory parameters be an alternative to CT and RT-PCR in the diagnosis of COVID-19? A machine learning approach. 435-443 - Summrina Kanwal
COVID-opt-aiNet: A clinical decision support system for COVID-19 detection. 444-461 - Arun Kumar
Detection and diagnosis of COVID-19 infection in lungs images using deep learning techniques. 462-475 - Said Yacine Boulahia
Att2ResNet: A deep attention-based approach for melanoma skin cancer classification. 476-489 - Zhirong Yang
Preoperative planning for jugular-foramen tumors: Preparation of a three-dimensional surgical drawing. 490-500 - U. Raghavendra, Anjan Gudigar
Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study. 501-516 - Yesim Eroglu
mRMR-based hybrid convolutional neural network model for classification of Alzheimer's disease on brain magnetic resonance images. 517-527 - Ying Fang
Nonlocal convolutional block attention module VNet for gliomas automatic segmentation. 528-543 - Stalin Babu Gedela
Automated assessment for Alzheimer's disease diagnosis from MRI images: Meta-heuristic assisted deep learning model. 544-563 - Jayesh George Melekoodappattu
Malignancy detection on mammograms by integrating modified convolutional neural network classifier and texture features. 564-574 - Mina Mirjalili
Individualized real-time prediction of working memory performance by classifying electroencephalography signals. 575-589 - Ashraf Abuelhaija
Multi- and dual-tuned microstripline-based transmit/receive switch for 7-Tesla magnetic resonance imaging. 590-599 - Bindu Madhavi Tummala
Liver tumor segmentation from computed tomography images using multiscale residual dilated encoder-decoder network. 600-613 - Sally M. Elghamrawy
Genetic-based adaptive momentum estimation for predicting mortality risk factors for COVID-19 patients using deep learning. 614-628 - Lingraj Dora
An efficient multiclass classifier for classification of Alzheimer's disease/mild cognitive impairment/Normal subjects. 629-641 - Cherifa Nabila Chaoui
Edge and anomaly detection of brain magnetic resonance images in a distributed environment. 642-657 - Safa Ben Atitallah
Fusion of convolutional neural networks based on Dempster-Shafer theory for automatic pneumonia detection from chest X-ray images. 658-672 - Tomás Pohl
Interpretability of deep neural networks used for the diagnosis of Alzheimer's disease. 673-686 - Sasikanth Shanmugam
A method for detecting and classifying the tumor regions in brain MRI images using vector index filtering and ANFIS classification process. 687-696
Volume 32, Number 3, May 2022
- Mohamed L. Seghier
Demystifying desk rejection: A call to action for our authors. 701-703
- Thiyagarajan Padmapriya
Multimodal covid network: Multimodal bespoke convolutional neural network architectures for COVID-19 detection from chest X-ray's and computerized tomography scans. 704-716 - Orkun Eroglu, Muhammed Yildirim
Automatic detection of eardrum otoendoscopic images in patients with otitis media using hybrid-based deep models. 717-727 - Fan Liu, Dongxiao Li
Accelerated brain tumor dynamic contrast-enhanced MRI using Adaptive Pharmaco-Kinetic Model Constrained method. 728-739 - Neven Saleh
Transfer learning-based platform for detecting multi-classification retinal disorders using optical coherence tomography images. 740-752 - Rahul Paul
Topological features in addition to radiomics signature predict 1p19q status and tumor grade in low-grade gliomas. 753-766 - Limei Su, Shenjiao Huang, Zhengyin Wang, Zhiqin Zhang, Huajiang Wei, Tongsheng Chen
Whole slide cervical image classification based on convolutional neural network and random forest. 767-777 - Vidya K. Sudarshan
VEntNet: Hybrid deep convolutional neural network model for automated multi-class categorization of chest X-rays. 778-797 - Yaroub Elloumi
Cataract grading method based on deep convolutional neural networks and stacking ensemble learning. 798-814 - Anisha Arulappan
Liver tumor segmentation using a new asymmetrical dilated convolutional semantic segmentation network in CT images. 815-830 - Mengkun Wu
A machine learning-based method for automatic diagnosis of ankle fracture using X-ray images. 831-842 - Muruganantham Manickam
Pulmonary disease diagnosis using African vulture optimized weighted support vector machine approach. 843-856 - Shaoguo Cui
GAN-segNet: A deep generative adversarial segmentation network for brain tumor semantic segmentation. 857-868 - Krishnamoorthy Sashi Rekha
Efficient feature subset selection and classification using levy flight-based cuckoo search optimization with parallel support vector machine for the breast cancer data. 869-881 - Saurabh Shrikant Athalye
Taylor series-based deep belief network for automatic classification of diabetic retinopathy using retinal fundus images. 882-901 - Zeeshan Ahmed
Deep learning based automated detection of intraretinal cystoid fluid. 902-917 - Antony Dennis Ananth
Extended and optimized deep convolutional neural network-based lung tumor identification in big data. 918-934 - Mamta Juneja
Denoising of computed tomography using bilateral median based autoencoder network. 935-955 - Xiaofang Zhang, Bin Zhang, Xiaomin Liu, Jie Dong, Shujun Zhao
Accurate classification of nodules and non-nodules from computed tomography images based on radiomics and machine learning algorithms. 956-968 - Shanshan Liu, Ruo Hu, Jianfang Wu
Research on data classification and feature fusion method of cancer nuclei image based on deep learning. 969-981 - Kiran Fiaz, Tahir Mustafa Madni
Brain tumor segmentation and multiview multiscale-based radiomic model for patient's overall survival prediction. 982-999 - Nalini Bodasingi
Automatic diagnosis of pneumonia using backward elimination method based SVM and its hardware implementation. 1000-1014 - Adel Abdelli
Multiple instance learning for classifying histopathological images of the breast cancer using residual neural network. 1015-1029
Volume 32, Number 4, July 2022
- Hyunsu Jeong, Hyunwook Kim, Jiwon Yoon, Kyungsup Go, Jeonghwan Gwak
OVASO: Integrated binary CNN models to classify COVID-19, pneumonia and healthy lung in X-ray images. 1035-1048 - Durga Prasad Mannepalli
An effective detection of COVID-19 using adaptive dual-stage horse herd bidirectional long short-term memory framework. 1049-1067 - Sevim Cengiz
ORYX-MRSI: A fully-automated open-source software for proton magnetic resonance spectroscopic imaging data analysis. 1068-1083 - Kushangi Atrey
Real-time automated segmentation of breast lesions using CNN-based deep learning paradigm: Investigation on mammogram and ultrasound. 1084-1100 - Gunjan Rajput, Shashank Agrawal, Kunika Naresh Biyani, Santosh Kumar Vishvakarma
Early breast cancer diagnosis using cogent activation function-based deep learning implementation on screened mammograms. 1101-1118 - Yusong Shen
A novel software framework for magnetic particle imaging reconstruction. 1119-1132 - Donghyuk Kim
Design of rectangular coaxial slot antenna for ultra-high-field magnetic resonance imaging. 1133-1142 - Ranpreet Kaur
Skin lesion segmentation using an improved framework of encoder-decoder based convolutional neural network. 1143-1158 - Ferdi Ozbilgin, Çetin Kurnaz
An alternative approach for determining the cholesterol level: Iris analysis. 1159-1171 - Venkatesh Gauri Shankar
A novel discriminant feature selection-based mutual information extraction from MR brain images for Alzheimer's stages detection and prediction. 1172-1191 - Tojo Mathew
Deep learning-based automated mitosis detection in histopathology images for breast cancer grading. 1192-1208 - Arnab Kumar Mishra
CR-SSL: A closely related self-supervised learning based approach for improving breast ultrasound tumor segmentation. 1209-1220 - Fan Zhang
BDU-net: Toward accurate segmentation of dental image using border guidance and feature map distortion. 1221-1230 - Lokesh Singh
A hybrid feature fusion strategy for early fusion and majority voting for late fusion towards melanocytic skin lesion detection. 1231-1250 - Kaniska Samanta
Neuromuscular disease detection based on feature extraction from time-frequency images of EMG signals employing robust hyperbolic Stockwell transform. 1251-1262 - Sreedhar Kollem
Image denoising for magnetic resonance imaging medical images using improved generalized cross-validation based on the diffusivity function. 1263-1285 - Hanyuan Miao, Xiaohong Zhou, Wei Wang, Weiliang Jiang, Tao Jin
Improved sparse representation algorithm for optical coherence tomography images. 1286-1293 - Xiongfei Jiao, Juan Li, Zhilei Zhao, Benjamin Badami
An all-inclusive computer-aided melanoma diagnosis based on soft computing. 1294-1306 - M. Roy Reena
Identification of white blood cells for the diagnosis of acute myeloid leukemia. 1307-1317 - Komal Jindal
A novel EEG channel selection and classification methodology for multi-class motor imagery-based BCI system design. 1318-1337 - Tanvi Dovedi
Hybrid time-reassigned multisynchrosqueezing transform-Picard-based automated electroencephalography artifact correction methodology for brain-computer interface applications. 1338-1356 - Vedant Shukla
Estimation of Nonhomogeneous Noise in 2D Magnetic Resonance Imaging. 1357-1372 - Palanigurupackiam Nagaraj
An intelligent fuzzy inference rule-based expert recommendation system for predictive diabetes diagnosis. 1373-1396 - Manoj Kumar Naik
A novel threshold score based multiclass segmentation technique for brain magnetic resonance images using adaptive opposition slime mold algorithm. 1397-1413 - Egambaram Thirumagal
Lung cancer classification using exponential mean saturation linear unit activation function in various generative adversarial network models. 1414-1428
Volume 32, Number 5, September 2022
- Gurram Sunitha, Arunachalam Rajesh
A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID-19 based on acoustic cough features. 1433-1446 - Muzaffer Aslan
CoviDetNet: A new COVID-19 diagnostic system based on deep features of chest x-ray. 1447-1463 - Sachin Kumar
LiteCovidNet: A lightweight deep neural network model for detection of COVID-19 using X-ray images. 1464-1480 - Hasan Polat
A modified DeepLabV3+ based semantic segmentation of chest computed tomography images for COVID-19 lung infections. 1481-1495 - J. Sahaya Jeniba
A multilevel self-attention based segmentation and classification technique using Directional Hexagonal Mixed Pattern algorithm for lung nodule detection in thoracic CT image. 1496-1510 - Cong Chao Bian
CSDL-Net: An iterative network based on compressed sensing and deep learning. 1511-1520 - Samla Salim
An improved invasive weed optimization enabled Shepard convolutional neural network for classification of breast cancer. 1521-1534 - Onkar Thorat
Domain adaptation and weight initialization of neural networks for diagnosing interstitial lung diseases. 1535-1547 - Murat Firat
Automatic detection of keratoconus on Pentacam images using feature selection based on deep learning. 1548-1560 - Thirumarai Selvi Chandraraju
Categorization of breast masses based on deep belief network parameters optimized using chaotic krill herd optimization algorithm for frequent diagnosis of breast abnormalities. 1561-1576 - Shi-jie Wang, Hua-qing Liu, Tao Yang, Ming-quan Huang, Bowen Zheng, Tao Wu, Lan-qing Han, Yong Zhang, Jie Ren
Machine learning based on automated breast volume scanner (ABVS) radiomics for differential diagnosis of benign and malignant BI-RADS 4 lesions. 1577-1587 - Xin Yang
MR-UNet: An UNet model using multi-scale and residual convolutions for retinal vessel segmentation. 1588-1603 - Hongfei Wang
Lung CT image enhancement based on total variational frame and wavelet transform. 1604-1614 - M. B. Bijoy
Cervix type detection using a self-supervision boosted object detection technique. 1615-1630 - Weisheng Li
Medical image fusion based on local Laplacian decomposition and iterative joint filter. 1631-1645 - Özlem Polat
Brain tumor classification by using a novel convolutional neural network structure. 1646-1660 - Rania M. Abdelazeem
Utilizing the spatial frequency domain imaging to investigate change in optical parameters of skin exposed to thermal-hydrotherapy: Ex-vivo study. 1661-1672 - Fatih Veysel Nurçin
Improved segmentation of overlapping red blood cells on malaria blood smear images with TransUNet architecture. 1673-1680 - Chinnu Jacob
Pathological categorization of lung carcinoma from multimodality images using convolutional neural networks. 1681-1695 - Nirmal Yadav
A deep data-driven approach for enhanced segmentation of blood vessel for diabetic retinopathy. 1696-1708 - Geetha Pavani Pappu
A deeply supervised maximum response texton based SegNet for simultaneous multi retinal lesion segmentation. 1709-1726 - Zhili Zhang
3D multi-resolution attention capsule network for diagnosing multi-pathological types of pulmonary nodules. 1727-1742 - Karishma Rao
An optimized morphology transform-based diagnostic computed tomography image enhancement using edge map. 1743-1760 - Mourtada Benazzouz
Modified U-Net for cytological medical image segmentation. 1761-1773 - Himanshu K. Gajera
Patch-based local deep feature extraction for automated skin cancer classification. 1774-1788 - Moye Yu
Intelligent detection and applied research on diabetic retinopathy based on the residual attention network. 1789-1800 - Pallavi Asthana
Brain tumor detection and patient survival prediction using U-Net and regression model. 1801-1814
Volume 32, Number 6, November 2022
- Mohamed L. Seghier:
It is time to make neuroimaging research data beneficial to the participants. 1819-1821
- Martti Juhola
A method to measure data complexity of a complicated medical data set. 1822-1831 - Thanh-Hai Nguyen
HS-UNET-ID: An approach for human skin classification integrating between UNET and improved dense convolutional network. 1832-1845 - B. Chitra
Early cervical cancer diagnosis using Sooty tern-optimized CNN-LSTM classifier. 1846-1860 - Mamta Juneja
PC-SNet for automated detection of prostate cancer in multiparametric-magnetic resonance imaging. 1861-1879 - S. R. Sannasi Chakravarthy
SKMAT-U-Net architecture for breast mass segmentation. 1880-1888 - Atefe Aghaei, Mohsen Ebrahimi Moghaddam
Interpretable ensemble deep learning model for early detection of Alzheimer's disease using local interpretable model-agnostic explanations. 1889-1902 - Adam Hasse
Application of a novel T1 retrospective quantification using internal references (T1-REQUIRE) algorithm to derive quantitative T1 relaxation maps of the brain. 1903-1915 - Sabeena Karim Kutty
Enhancing convolutional neural network model with spectral features for the identification of cervical dysplasia. 1916-1927 - Qing Yang
Deep feature enhancement and Xgboost network for multi-organ classification. 1928-1940 - Vernon Furtado da Silva, Diego Augusto Santos Silva
Effect of physical exercise and noninvasive brain stimulation on cognition and dementia of elderly people with frailty: A randomized study. 1941-1952 - Doaa Mahmoud-Ghoneim
The effect of quantization at different resolutions on the classification of lesion texture in dermoscopic images using support vector machine. 1953-1962 - Mukta Sharma
A novel DeepML framework for multi-classification of breast cancer based on transfer learning. 1963-1977 - Harun Bingol
NCA-based hybrid convolutional neural network model for classification of cervical cancer on gauss-enhanced pap-smear images. 1978-1989 - Faruk Oztekin
Automatic semantic segmentation for dental restorations in panoramic radiography images using U-Net model. 1990-2001 - Libing Hu, Yongchun Zhang, Kaidi Chen, Saleh Mobayen
A computer-aided melanoma detection using deep learning and an improved African vulture optimization algorithm. 2002-2016 - Remya Remani Sathyan
Deep learning-based semantic segmentation of interphase cells and debris from metaphase images. 2017-2033 - Poonguzhali Elangovan
En-ConvNet: A novel approach for glaucoma detection from color fundus images using ensemble of deep convolutional neural networks. 2034-2048 - Kubilay Muhammed Sünnetci
Lung cancer detection by using probabilistic majority voting and optimization techniques. 2049-2065 - Guanzhong Zhang
Dense and shuffle attention U-Net for automatic skin lesion segmentation. 2066-2079 - Jiffy Joseph
Computed tomography image generation from magnetic resonance imaging using Wasserstein metric for MR-only radiation therapy. 2080-2093 - Kanimozhi Ganesan, Pichai Shanmugavadivu
Data imputation in deep neural network to enhance breast cancer detection. 2094-2106 - Panduranga Vital Terlapu
Intelligent diagnosis system of hepatitis C virus: A probabilistic neural network based approach. 2107-2136 - Marriam Nawaz
Melanoma segmentation: A framework of improved DenseNet77 and UNET convolutional neural network. 2137-2153 - Ansi Pan
Mammographic mass recognition using feature reuse and channel attention mechanism. 2154-2162 - Sakambhari Mahapatra
An optimal statistical feature-based transformation function for enhancement of retinal images using adaptive enhanced leader particle swarm optimization. 2163-2183 - Guangzhe Zhao, Shuai Shao
Key techniques for classification of thorax diseases based on deep learning. 2184-2197 - Phu-Hung Dinh
A new medical image enhancement algorithm using adaptive parameters. 2198-2218 - Karthikamani R, Harikumar Rajaguru
Detection of liver abnormalities - A new paradigm in medical image processing and classification techniques. 2219-2239 - Sushitha Susan Joseph, Aju Dennisan
An affinity propagated clustering aided computerized Inherent Seeded Region Growing and Deep learned Marching Cubes Algorithm (ISRG-DMCA) based three dimensional image reconstruction approach. 2240-2254 - Volkan Akdogan, Vedat Özkaner, Fatih Özkan Alkurt
Theoretical and experimental sensing of bone healing by microwave approach. 2255-2261 - Dhiren Pandit
Molecular cancer classification on microarrays gene expression data using wavelet-based deep convolutional neural network. 2262-2280 - Guangdong Liu
A modified contrast source inversion method for microwave tomographic imaging of Debye dispersive media. 2281-2291
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