Nothing Special   »   [go: up one dir, main page]

Vijayakumar et al., 2022 - Google Patents

Automatic detection of breast cancer in ultrasound images using Mayfly algorithm optimized handcrafted features

Vijayakumar et al., 2022

Document ID
2264416390667964091
Author
Vijayakumar K
Rajinikanth V
Kirubakaran M
Publication year
Publication venue
Journal of X-Ray Science and Technology

External Links

Snippet

BACKGROUND: The incidence rates of breast cancer in women community is progressively raising and the premature diagnosis is necessary to detect and cure the disease. OBJECTIVE: To develop a novel automated disuse detection framework to examine the …
Continue reading at content.iospress.com (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345—Medical expert systems, neural networks or other automated diagnosis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/321—Management of medical image data, e.g. communication or archiving systems such as picture archiving and communication systems [PACS] or related medical protocols such as digital imaging and communications in medicine protocol [DICOM]; Editing of medical image data, e.g. adding diagnosis information
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

Similar Documents

Publication Publication Date Title
Vijayakumar et al. Automatic detection of breast cancer in ultrasound images using Mayfly algorithm optimized handcrafted features
Si et al. Fully end-to-end deep-learning-based diagnosis of pancreatic tumors
Alzu’bi et al. Kidney tumor detection and classification based on deep learning approaches: a new dataset in CT scans
Perez et al. Automated lung cancer diagnosis using three-dimensional convolutional neural networks
Eldin et al. Deep learning approach for breast cancer diagnosis from microscopy biopsy images
Liu et al. Deep learning classification of breast cancer tissue from terahertz imaging through wavelet synchro-squeezed transformation and transfer learning
Sethy et al. A cost-effective computer-vision based breast cancer diagnosis
Sengan et al. A fuzzy based high-resolution multi-view deep CNN for breast cancer diagnosis through SVM classifier on visual analysis
Rai et al. A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Ammar et al. ViT-TB: ensemble learning based ViT model for tuberculosis recognition
Habib et al. Automatic breast lesion classification by joint neural analysis of mammography and ultrasound
Al-Shouka et al. A Transfer Learning for Intelligent Prediction of Lung Cancer Detection
Ramesh et al. A review on recent advancements in diagnosis and classification of cancers using artificial intelligence
Kadhim et al. A Comprehensive Review of Artificial Intelligence Approaches in Kidney Cancer Medical Images Diagnosis, Datasets, Challenges and Issues and Future Directions
Goswami et al. Pulmonary lung cancer classification using deep neural networks
Okuwobi et al. Artificial intelligence model driven by transfer learning for image-based medical diagnosis
Rajinikanth et al. Colon histology slide classification with deep-learning framework using individual and fused features
Kaul et al. High Accuracy Predictive Model on Breast Cancer Using Ensemble Approach of Supervised Machine Learning Algorithms
Santhosh et al. Deep Learning Based Kidney Stone Detection Using CT Scan Images
Santhosh et al. Deep Learning Techniques for Brain Tumor Diagnosis: A Review
Shimna et al. A Review on Diagnosis of Lung Cancer and Lung Nodules in Histopathological Images using Deep Convolutional Neural Network
Qadir et al. A Hybrid Lung Cancer Model for Diagnosis and Stage Classification from Computed Tomography Images
Poonkodi et al. A review on lung carcinoma segmentation and classification using CT image based on deep learning
Palarimath et al. Empowering Breast Cancer Detection with AI: A Modified Support Vector Machine Approach for Improved Classification Accuracy
Babu et al. Diagnosis of Lung Cancer Detection Using Various Deep Learning Models: A Survey