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

Sánchez et al., 2009 - Google Patents

Mixture model-based clustering and logistic regression for automatic detection of microaneurysms in retinal images

Sánchez et al., 2009

View PDF
Document ID
3729643137782569352
Author
Sánchez C
Hornero R
Mayo A
García M
Publication year
Publication venue
Medical Imaging 2009: Computer-Aided Diagnosis

External Links

Snippet

Diabetic Retinopathy is one of the leading causes of blindness and vision defects in developed countries. An early detection and diagnosis is crucial to avoid visual complication. Microaneurysms are the first ocular signs of the presence of this ocular …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • 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
    • 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
    • G06T7/0014Biomedical image inspection using an image reference approach
    • 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
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • 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
    • 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
    • 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
    • G06K9/62Methods 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
    • G06T7/00Image analysis
    • G06T7/40Analysis of texture
    • 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

Similar Documents

Publication Publication Date Title
Sánchez et al. Mixture model-based clustering and logistic regression for automatic detection of microaneurysms in retinal images
Sánchez et al. Retinal image analysis based on mixture models to detect hard exudates
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
Giancardo et al. Exudate-based diabetic macular edema detection in fundus images using publicly available datasets
Neto et al. An unsupervised coarse-to-fine algorithm for blood vessel segmentation in fundus images
Singh et al. Image processing based automatic diagnosis of glaucoma using wavelet features of segmented optic disc from fundus image
Sánchez et al. Retinal image analysis to detect and quantify lesions associated with diabetic retinopathy
Adal et al. An automated system for the detection and classification of retinal changes due to red lesions in longitudinal fundus images
Morales et al. Automatic detection of optic disc based on PCA and mathematical morphology
CN109472781B (en) Diabetic retinopathy detection system based on serial structure segmentation
Kande et al. Segmentation of exudates and optic disk in retinal 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
Garcia et al. Detection of hard exudates in retinal images using a radial basis function classifier
Molina-Casado et al. Fast detection of the main anatomical structures in digital retinal images based on intra-and inter-structure relational knowledge
Indumathi et al. Microaneurysms detection for early diagnosis of diabetic retinopathy using shape and steerable Gaussian features
Prentasic et al. Weighted ensemble based automatic detection of exudates in fundus photographs
Verma et al. Machine learning classifiers for detection of glaucoma
Krishnan et al. An integrated diabetic retinopathy index for the diagnosis of retinopathy using digital fundus image features
Biyani et al. A clustering approach for exudates detection in screening of diabetic retinopathy
Brancati et al. Automatic segmentation of pigment deposits in retinal fundus images of Retinitis Pigmentosa
Welikala et al. The automated detection of proliferative diabetic retinopathy using dual ensemble classification
Sanchez et al. Automatic image processing algorithm to detect hard exudates based on mixture models
Zhou et al. A novel approach for red lesions detection using superpixel multi-feature classification in color fundus images
KI A hybrid classifier for the detection of microaneurysms in diabetic retinal images
Castelino et al. Detection of polycystic ovary syndrome using vgg-16 and inception-v3