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

Garcia et al., 2009 - Google Patents

Detection of hard exudates in retinal images using a radial basis function classifier

Garcia et al., 2009

View PDF
Document ID
17642644843566285360
Author
Garcia M
Sanchez C
Poza J
López M
Hornero R
Publication year
Publication venue
Annals of biomedical engineering

External Links

Snippet

Diabetic retinopathy (DR) is one of the most important causes of visual impairment. Automatic recognition of DR lesions, like hard exudates (EXs), in retinal images can contribute to the diagnosis and screening of the disease. The aim of this study was to …
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
    • 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
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268Feature extraction; Face representation
    • G06K9/00281Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • 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
    • 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
    • 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
    • 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
    • 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
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • 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

Similar Documents

Publication Publication Date Title
Garcia et al. Detection of hard exudates in retinal images using a radial basis function classifier
US11935235B2 (en) Diagnosis of a disease condition using an automated diagnostic model
García et al. Neural network based detection of hard exudates in retinal images
Cao et al. Hierarchical method for cataract grading based on retinal images using improved Haar wavelet
Neto et al. An unsupervised coarse-to-fine algorithm for blood vessel segmentation in fundus images
Orlando et al. An ensemble deep learning based approach for red lesion detection in fundus images
Kauppi et al. The diaretdb1 diabetic retinopathy database and evaluation protocol.
Sánchez et al. Retinal image analysis based on mixture models to detect hard exudates
Sánchez et al. A novel automatic image processing algorithm for detection of hard exudates based on retinal image analysis
US8896682B2 (en) System and method for automated detection of age related macular degeneration and other retinal abnormalities
Akbar et al. Automated techniques for blood vessels segmentation through fundus retinal images: A review
Giancardo et al. Exudate-based diabetic macular edema detection in fundus images using publicly available datasets
García et al. Assessment of four neural network based classifiers to automatically detect red lesions in retinal images
Sánchez et al. Mixture model-based clustering and logistic regression for automatic detection of microaneurysms in retinal images
García et al. Comparison of logistic regression and neural network classifiers in the detection of hard exudates in retinal images
CN113768461B (en) Fundus image analysis method, fundus image analysis system and electronic equipment
Xiao et al. Major automatic diabetic retinopathy screening systems and related core algorithms: a review
Zou et al. Learning‐Based Visual Saliency Model for Detecting Diabetic Macular Edema in Retinal Image
Kauppi Eye fundus image analysis for automatic detection of diabetic retinopathy
WO2014158345A1 (en) Methods and systems for vessel bifurcation detection
Giancardo Automated fundus images analysis techniques to screen retinal diseases in diabetic patients
Gupta et al. Comparative study of different machine learning models for automatic diabetic retinopathy detection using fundus image
Oommen et al. A research insight toward the significance in extraction of retinal blood vessels from fundus images and its various implementations
Patil et al. Automated macula proximity diagnosis for early finding of diabetic macular edema
Janakiraman et al. Reliable IoT-based health-care system for diabetic retinopathy diagnosis to defend the vision of patients