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

Abramoff et al., 2006 - Google Patents

The automatic detection of the optic disc location in retinal images using optic disc location regression

Abramoff et al., 2006

View HTML
Document ID
9289431630275758238
Author
Abramoff M
Niemeijer M
Publication year
Publication venue
2006 International Conference of the IEEE Engineering in Medicine and Biology Society

External Links

Snippet

The automatic detection of the position of the optic disc is an important step in the automatic analysis of retinal images. A method to detect the approximate position of the optic disc using kNN regression is presented. The method starts by building a regression model of the …
Continue reading at www.ncbi.nlm.nih.gov (HTML) (other versions)

Classifications

    • 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
    • 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
    • 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
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • 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
    • G06T2207/20112—Image segmentation details
    • 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
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • 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
    • G06K9/00006—Acquiring or recognising fingerprints or palmprints
    • 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
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • 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
    • 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
Abramoff et al. The automatic detection of the optic disc location in retinal images using optic disc location regression
Niemeijer et al. Segmentation of the optic disc, macula and vascular arch in fundus photographs
Zhang et al. Retinal vessel delineation using a brain-inspired wavelet transform and random forest
Akbar et al. Automated techniques for blood vessels segmentation through fundus retinal images: A review
Zhang et al. Retinal vessel segmentation using multi-scale textons derived from keypoints
CN111046835A (en) Eyeground illumination multiple disease detection system based on regional feature set neural network
KR20190087272A (en) Method for diagnosing glaucoma using fundus image and apparatus therefor
CN113574542A (en) Segmentation and classification of geographic atrophy patterns in patients with age-related macular degeneration in wide-field autofluorescence images
Kumar et al. Analysis of retinal blood vessel segmentation techniques: a systematic survey
Kauppi Eye fundus image analysis for automatic detection of diabetic retinopathy
Abbasi-Sureshjani et al. Boosted exudate segmentation in retinal images using residual nets
US20130222767A1 (en) Methods and systems for detecting peripapillary atrophy
Giancardo Automated fundus images analysis techniques to screen retinal diseases in diabetic patients
Niemeijer et al. Automated localization of the optic disc and the fovea
Kumar et al. Automatic detection of red lesions in digital color retinal images
Kolar et al. Registration and fusion of the autofluorescent and infrared retinal images
Tobin et al. A probabilistic framework for content-based diagnosis of retinal disease
Karnowski et al. Automatic detection of retina disease: Robustness to image quality and localization of anatomy structure
Niemeijer et al. Automatic Detection of the Optic Disc, Fovea and Vacular Arch in Digital Color Photographs of the Retina.
Zhou et al. Computer aided diagnosis for diabetic retinopathy based on fundus image
Niemeijer Automatic detection of diabetic retinopathy in digital fundus photographs
KR20230106205A (en) Apparatus and methods for classifying neurodegenerative diseases image of amyloid-positive based on deep-learning
WO2022115777A2 (en) System and methods of predicting parkinson's disease based on retinal images using machine learning
Ammal et al. Texture Feature Analysis in Fundus Image in Screening Diabetic Retinopathy
CN118657800B (en) Multi-lesion joint segmentation method in retina OCT (optical coherence tomography) image based on hybrid network