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

Markhande et al., 2022 - Google Patents

A review on adaptive hierarchy segmentation of bone cancer using neural network in MATLAB

Markhande et al., 2022

View PDF
Document ID
12591103131830633992
Author
Markhande H
Selokar P
Raut N
Ahmad A
Chakole V
Publication year

External Links

Snippet

Medical imaging is critical in the diagnosis and treatment of illness, the detection of tumours and the early detection of malignant cells. Microscopic pictures have traditionally been used to detect bone characteristics as a conventional technique. Using micro radiography, which …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • G06T7/0014Biomedical image inspection using an image reference approach
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30068Mammography; Breast
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10116X-ray image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • G06T2207/20156Automatic seed setting
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20212Image combination
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K2209/00Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K2209/05Recognition of patterns in medical or anatomical images
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/0031Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for topological mapping of a higher dimensional structure on a lower dimensional surface
    • G06T3/0037Reshaping or unfolding a 3D tree structure onto a 2D plane
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image

Similar Documents

Publication Publication Date Title
Zebari et al. Improved threshold based and trainable fully automated segmentation for breast cancer boundary and pectoral muscle in mammogram images
Kaur et al. Artificial intelligence techniques for cancer detection in medical image processing: A review
Chaudhury et al. [Retracted] Breast Cancer Calcifications: Identification Using a Novel Segmentation Approach
Hiran et al. An artificial neural network approach for brain tumor detection using digital image segmentation
JP2009502230A (en) Detection of wounds in medical images
Azhari et al. Tumor detection in medical imaging: a survey
Wang et al. Investigating the use of texture features for analysis of breast lesions on contrast-enhanced cone beam CT
Ganvir et al. Filtering method for pre-processing mammogram images for breast cancer detection
Kaur et al. Computer-aided diagnosis of renal lesions in CT images: a comprehensive survey and future prospects
Sarkar et al. Review of Artificial Intelligence methods for detecting cancer in medical image processing
Markhande et al. A review on adaptive hierarchy segmentation of bone cancer using neural network in MATLAB
Qian et al. Knowledge-based automatic detection of multitype lung nodules from multidetector CT studies
Ahmed et al. Computer-aided classification of liver lesions using contrasting features difference
Cho et al. Evaluation of U-net-based image segmentation model to digital mammography
Saleh et al. Classification the Mammograms Based on Hybrid Features Extraction Techniques Using Multilayer Perceptron Classifier
Amritha et al. Liver tumor segmentation and classification using deep learning
Subramaniam et al. Breast cancer diagnosis systems: A review
Bukhori et al. Segmentation of Breast Cancer using Convolutional Neural Network and U-Net Architecture
Pandey et al. A Framework for Mathematical Methods in Medical Image Processing
Vasundhara et al. An efficient biomedical solicitation in liver cancer classification by deep learning approach
da Cruz Automatic analysis of mammography images
Eqbal et al. Medical image feature extraction using wavelet transform
Goel Image Processing Implementation for Medical Images to Detect and Classify Various Diseases on the Basis of MRI and Ultrasound Images
Chaudhury et al. Research Article Breast Cancer Calcifications: Identification Using a Novel Segmentation Approach
Bhale et al. Descriptive analysis of computational methods for automating mammograms with practical applications