[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Mookiah et al., 2013 - Google Patents

Computer aided diagnosis of diabetic retinopathy using multi-resolution analysis and feature ranking frame work

Mookiah et al., 2013

Document ID
903351055255987527
Author
Mookiah M
Chua C
Min L
Ng E
Laude A
Publication year
Publication venue
Journal of Medical Imaging and Health Informatics

External Links

Snippet

Diabetes is a rapidly increasing worldwide problem characterized by impaired metabolism of glucose causing long-term dysfunction and failure of various organs. Diabetic Retinopathy (DR) is one of the most common complications of diabetes and is also one of the major …
Continue reading at www.ingentaconnect.com (other versions)

Classifications

    • 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
    • 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
    • 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
    • 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
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • 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
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268—Feature extraction; Face representation
    • G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • 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
    • G06K9/00597—Acquiring or recognising eyes, e.g. iris verification
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • 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
    • G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/007—Dynamic range modification
    • G06T5/008—Local, e.g. shadow enhancement

Similar Documents

Publication Publication Date Title
Stolte et al. A survey on medical image analysis in diabetic retinopathy
Abdulsahib et al. Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current challenges, open issues, and knowledge gaps in fundus medical images
Mayya et al. Automated microaneurysms detection for early diagnosis of diabetic retinopathy: A Comprehensive review
El‐Hag et al. Classification of retinal images based on convolutional neural network
Akbar et al. Automated techniques for blood vessels segmentation through fundus retinal images: A review
Yavuz et al. Blood vessel extraction in color retinal fundus images with enhancement filtering and unsupervised classification
EP3616120A1 (en) System and method for automated funduscopic image analysis
Cheng et al. Retinal blood vessel segmentation based on Densely Connected U-Net
Tavakoli et al. Automated microaneurysms detection in retinal images using radon transform and supervised learning: application to mass screening of diabetic retinopathy
Khandouzi et al. Retinal vessel segmentation, a review of classic and deep methods
Rajan Recognition of cardiovascular diseases through retinal images using optic cup to optic disc ratio
David et al. Retinal Blood Vessels and Optic Disc Segmentation Using U‐Net
Mookiah et al. Computer aided diagnosis of diabetic retinopathy using multi-resolution analysis and feature ranking frame work
US20210209755A1 (en) Automatic lesion border selection based on morphology and color features
Samuel et al. Review on retinal blood vessel segmentation-an algorithmic perspective
BERBAR Diabetic retinopathy detection and grading using deep learning
Toptaş et al. Detection of optic disc localization from retinal fundus image using optimized color space
Asem et al. Blood vessel segmentation in modern wide-field retinal images in the presence of additive Gaussian noise
Srinivasan et al. Complex texture features for glaucomatous image classification system using fundus images
Taş et al. Detection of retinal diseases from ophthalmological images based on convolutional neural network architecture.
Wisaeng Automatic Optic Disc Detection in Retinal Images Using FKMT-MOPDF.
Gadriye et al. Neural network based method for the diagnosis of diabetic retinopathy
Janakiraman et al. Reliable IoT-based health-care system for diabetic retinopathy diagnosis to defend the vision of patients
Prathibha Advancing diabetic retinopathy diagnosis with fundus imaging: A comprehensive survey of computer-aided detection, grading and classification methods
Shourie et al. Multi-class Classification of Skin Diseases using Pre-trained DenseNet Architecture on Dermoscopy Images