[go: up one dir, main page]

Walter et al., 2007 - Google Patents

Automatic detection of microaneurysms in color fundus images

Walter et al., 2007

Document ID
10034441760593726733
Author
Walter T
Massin P
Erginay A
Ordonez R
Jeulin C
Klein J
Publication year
Publication venue
Medical image analysis

External Links

Snippet

This paper addresses the automatic detection of microaneurysms in color fundus images, which plays a key role in computer assisted diagnosis of diabetic retinopathy, a serious and frequent eye disease. The algorithm can be divided into four steps. The first step consists in …
Continue reading at www.sciencedirect.com (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
    • G06T2207/30024Cell structures in vitro; Tissue sections in vitro
    • 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
    • G06T2207/30041Eye; Retina; Ophthalmic
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • 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
    • G06K9/00597Acquiring or recognising eyes, e.g. iris verification
    • G06K9/0061Preprocessing; Feature extraction
    • 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
    • G06T2207/20224Image subtraction
    • 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
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/0059Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0082Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20048Transform domain 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
    • G06K9/00127Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts

Similar Documents

Publication Publication Date Title
Walter et al. Automatic detection of microaneurysms in color fundus images
Saba et al. Fundus image classification methods for the detection of glaucoma: A review
Yun et al. Identification of different stages of diabetic retinopathy using retinal optical images
Agurto et al. A multiscale optimization approach to detect exudates in the macula
Cavalcanti et al. Automated prescreening of pigmented skin lesions using standard cameras
Sánchez et al. Retinal image analysis based on mixture models to detect hard exudates
US7260248B2 (en) Image processing using measures of similarity
Goswami et al. Brain tumour detection using unsupervised learning based neural network
Dimauro et al. Anaemia detection based on sclera and blood vessel colour estimation
Garcia et al. Detection of hard exudates in retinal images using a radial basis function classifier
Du et al. Automated identification of diabetic retinopathy stages using support vector machine
Pratheeba et al. A novel approach for detection of hard exudates using random forest classifier
Anant et al. Diabetic retinopathy detection through image mining for type 2 diabetes
Gnanaselvi et al. RETRACTED ARTICLE: Detecting disorders in retinal images using machine learning techniques
Walter et al. Automatic analysis of color fundus photographs and its application to the diagnosis of diabetic retinopathy
Priya et al. Detection and grading of diabetic retinopathy in retinal images using deep intelligent systems: a comprehensive review
Manohar et al. Morphological approach for Retinal Microaneurysm detection
Janakiraman et al. Reliable IoT-based health-care system for diabetic retinopathy diagnosis to defend the vision of patients
Aziz et al. Comparing conventional and deep feature models for classifying fundus photography of hemorrhages
Bhardwaj et al. Two-tier grading system for npdr severities of diabetic retinopathy in retinal fundus images
Preethi et al. Performance analysis of iris-based identification system based on exudates
Li et al. Terraced compression method with automated threshold selection using GMM algorithm for heterogeneous bodies detection
Padmasini et al. Comparative study of iris and retinal images for early detection of diabetic mellitus
Giancardo et al. Bright retinal lesions detection using color fundus images containing reflective features
Wankhade et al. Need of fundus image analysis: a review