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

Noronha et al., 2013 - Google Patents

Automated diagnosis of maculopathy stages using entropies and Hu's invariant moments

Noronha et al., 2013

View PDF
Document ID
4979463382613662554
Author
Noronha K
Nayak K
Publication year
Publication venue
Journal of Medical Imaging and Health Informatics

External Links

Snippet

Diabetic maculopathy is characterized by distortion of central vision, because of prolonged diabetic retinopathy. It may lead to permanent central vision loss when the fluid rich fat and cholesterol leaks out of damaged vessels of retina to the macula. Routine eye check up of …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • 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
    • 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
    • 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
    • G06T2207/30041—Eye; Retina; Ophthalmic
    • 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
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10101—Optical tomography; Optical coherence tomography [OCT]
    • 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
    • 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
    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • 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
    • G06T2207/20212—Image combination
    • G06T2207/20224—Image subtraction
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes

Similar Documents

Publication Publication Date Title
Akram et al. Automated detection of exudates and macula for grading of diabetic macular edema
Paing et al. Detection of lesions and classification of diabetic retinopathy using fundus images
Rosas-Romero et al. A method to assist in the diagnosis of early diabetic retinopathy: Image processing applied to detection of microaneurysms in fundus images
Singh et al. A novel multimodality based dual fusion integrated approach for efficient and early prediction of glaucoma
AbdelMaksoud et al. A comprehensive diagnosis system for early signs and different diabetic retinopathy grades using fundus retinal images based on pathological changes detection
Kaur et al. A method of disease detection and segmentation of retinal blood vessels using fuzzy C-means and neutrosophic approach
Phridviraj et al. A bi-directional Long Short-Term Memory-based Diabetic Retinopathy detection model using retinal fundus images
Rahhal et al. Detection and classification of diabetic retinopathy using artificial intelligence algorithms
Wu et al. Segmentation-based deep learning fundus image analysis
Krishnan et al. An integrated diabetic retinopathy index for the diagnosis of retinopathy using digital fundus image features
Naramala et al. Enhancing diabetic retinopathy detection through machine learning with restricted boltzmann machines
Sopharak et al. Automated microaneurysm detection algorithms applied to diabetic retinopathy retinal images.
Priya et al. Detection and grading of diabetic retinopathy in retinal images using deep intelligent systems: a comprehensive review
Noronha et al. Automated diagnosis of maculopathy stages using entropies and Hu's invariant moments
Rahouma et al. Glaucoma Detection and Classification Based on Image Processing and Artificial Neural Networks.
Madhumalini et al. Detection of glaucoma from fundus images using novel evolutionary-based deep neural network
Noronha et al. Automated diagnosis of diabetes maculopathy: a survey
Poranki et al. Performance evaluation of ai assisted automotive diabetic retinopathy classification systems
Wijesinghe et al. Autogenous diabetic retinopathy censor for ophthalmologists-AKSHI
Mishra et al. Analysis of Approaches for Automated Glaucoma Detection and Prediction System
Gadriye et al. System for diagnosis of diabetic retinopathy using neural network
Balasubramanian et al. Deep Learning Approach to Predict and Grade Glaucoma from Fundus Images through Constitutional Neural Networks
Xu et al. Automatic diagnosis for glaucoma fusing multi-feature and multi-classifier
Raju DETECTION OF DIABETIC RETINOPATHY USING IMAGE PROCESSING
Vasudeva et al. Glaucoma Detection and Segmentation as Computer Aided Design: A review and study