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

Gadriye et al., 2014 - Google Patents

System for diagnosis of diabetic retinopathy using neural network

Gadriye et al., 2014

View PDF
Document ID
607924019096077325
Author
Gadriye D
Khandale G
Nawkhare R
Publication year
Publication venue
International Journal of Technical Research and Applications

External Links

Snippet

The main cause of blindness for the working age population in western countries is Diabetic Retinopathy-a complication of diabetes mellitus-is a severe and wide-spread eye disease. Digital color fundus images are becoming increasingly important for the diagnosis of …
Continue reading at citeseerx.ist.psu.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
    • 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
    • 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
    • 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
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color 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
    • 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
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • 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
    • G06K9/00597Acquiring or recognising eyes, e.g. iris verification
    • 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
    • G06K9/00127Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
    • 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
    • G06F19/34Computer-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
    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
    • 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
Das et al. A critical review on diagnosis of diabetic retinopathy using machine learning and deep learning
Asiri et al. Deep learning based computer-aided diagnosis systems for diabetic retinopathy: A survey
Al-Antary et al. Multi-scale attention network for diabetic retinopathy classification
Mayya et al. Automated microaneurysms detection for early diagnosis of diabetic retinopathy: A Comprehensive review
Sopharak et al. Machine learning approach to automatic exudate detection in retinal images from diabetic patients
Valizadeh et al. Presentation of a segmentation method for a diabetic retinopathy patient’s fundus region detection using a convolutional neural network
Solís-Pérez et al. Blood vessel detection based on fractional Hessian matrix with non-singular Mittag–Leffler Gaussian kernel
Nayak et al. Automatic identification of diabetic maculopathy stages using fundus images
Ebin et al. An approach using transfer learning to disclose diabetic retinopathy in early stage
Jeena et al. Stroke diagnosis from retinal fundus images using multi texture analysis
Vipparthi et al. Diabetic retinopathy classification using deep learning techniques
Verma et al. Machine learning classifiers for detection of glaucoma
Attia et al. A survey on machine and deep learning for detection of diabetic RetinopathY
Sesikala et al. A Study on Diabetic Retinopathy Detection, Segmentation and Classification using Deep and Machine Learning Techniques
Tariq et al. Computer aided diagnostic system for grading of diabetic retinopathy
Kumari et al. Automated process for retinal image segmentation and classification via deep learning based cnn model
Gadriye et al. System for diagnosis of diabetic retinopathy using neural network
Gadriye et al. Neural network based method for the diagnosis of diabetic retinopathy
Ghosh et al. Retinal blood vessel segmentation using a multi-scale layer in deep learning
Niemeijer Automatic detection of diabetic retinopathy in digital fundus photographs
Ayub et al. Differentiation of blood vessels in retina into arteries and veins using neural network
Mathias et al. Categorization of diabetic retinopathy and identification of characteristics to assist effective diagnosis
Sayamov Weakly supervised learning for retinal lesion detection
Noronha et al. Automated diagnosis of maculopathy stages using entropies and Hu's invariant moments
Vij et al. A Systematic Review on Deep Learning Techniques for Diabetic Retinopathy Segmentation and Detection Using Ocular Imaging Modalities