Jelinek et al., 2009 - Google Patents
Computer Assisted 'Top-Down'Assesment of Diabetic RetinopathyJelinek et al., 2009
- Document ID
- 15659969217315332740
- Author
- Jelinek H
- Al-Saedi K
- Bäcklund L
- Publication year
- Publication venue
- World Congress on Medical Physics and Biomedical Engineering, September 7-12, 2009, Munich, Germany: Vol. 25/11 Biomedical Engineering for Audiology, Ophthalmology, Emergency & Dental Medicine
External Links
Snippet
Diabetic retinopathy (DR) is a major cause of blindness in the develope d world, causing vision problems that are preventable if adequate screening and treatment systems are available. In the last ten years automated computer-based assessment for the presence of …
- 206010012689 Diabetic retinopathy 0 title abstract description 81
Classifications
-
- 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
- A61B3/02—Subjective types, i.e. testing apparatus requiring the active assistance of the patient
- A61B3/06—Subjective types, i.e. testing apparatus requiring the active assistance of the patient for testing light sensitivity, e.g. adaptation; for testing colour vision
- A61B3/066—Subjective types, i.e. testing apparatus requiring the active assistance of the patient for testing light sensitivity, e.g. adaptation; for testing colour vision for testing colour vision
-
- 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
-
- 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
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/12—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for looking at the eye fundus, e.g. ophthalmoscopes
-
- 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
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/102—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for optical coherence tomography [OCT]
-
- 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
- A61B3/0016—Operational features thereof
- A61B3/0025—Operational features thereof characterised by electronic signal processing, e.g. eye models
-
- 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
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/117—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for examining the anterior chamber or the anterior chamber angle, e.g. gonioscopes
- A61B3/1173—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for examining the anterior chamber or the anterior chamber angle, e.g. gonioscopes for examining the eye lens
- A61B3/1176—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for examining the anterior chamber or the anterior chamber angle, e.g. gonioscopes for examining the eye lens for determining lens opacity, e.g. cataract
-
- 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
- A61B5/0059—Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0082—Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes
-
- 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
- A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
- A61B5/0476—Electroencephalography
-
- 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
-
- 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
- A61B5/44—Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
- A61B5/441—Skin evaluation, e.g. for skin disorder diagnosis
- A61B5/444—Evaluating skin marks, e.g. mole, nevi, tumour, scar
-
- 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
- A61B5/48—Other medical applications
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Alwazzan et al. | A hybrid algorithm to enhance colour retinal fundus images using a Wiener filter and CLAHE | |
Kauppi et al. | The diaretdb1 diabetic retinopathy database and evaluation protocol. | |
Kauppi et al. | DIARETDB0: Evaluation database and methodology for diabetic retinopathy algorithms | |
Garway-Heath et al. | Quantitative evaluation of the optic nerve head in early glaucoma | |
US10413180B1 (en) | System and methods for automatic processing of digital retinal images in conjunction with an imaging device | |
Kanagasingam et al. | Progress on retinal image analysis for age related macular degeneration | |
Garway-Heath et al. | Aging changes of the optic nerve head in relation to open angle glaucoma | |
Dupas et al. | Evaluation of automated fundus photograph analysis algorithms for detecting microaneurysms, haemorrhages and exudates, and of a computer-assisted diagnostic system for grading diabetic retinopathy | |
Tong et al. | Development of a spatial model of age-related change in the macular ganglion cell layer to predict function from structural changes | |
Calcagni et al. | Multispectral retinal image analysis: a novel non-invasive tool for retinal imaging | |
Wang et al. | Machine learning models for diagnosing glaucoma from retinal nerve fiber layer thickness maps | |
Bartling et al. | Automated quality evaluation of digital fundus photographs | |
WO2012136079A1 (en) | Method and device for retinal image analysis | |
Tatham et al. | Detecting glaucoma using automated pupillography | |
Chin et al. | Automatic fovea location in retinal images using anatomical priors and vessel density | |
CN113768461A (en) | Fundus image analysis method and system and electronic equipment | |
Narang et al. | Advanced vision analyzer–virtual reality perimeter: device validation, functional correlation and comparison with humphrey field analyzer | |
Bittencourt et al. | Blue light versus green light fundus autofluorescence in normal subjects and in patients with retinochoroidopathy secondary to retinal and uveitic diseases | |
Kourkoutas et al. | Glaucoma risk assessment using a non-linear multivariable regression method | |
Bhaskaranand et al. | EyeArt+ EyePACS: automated retinal image analysis for diabetic retinopathy screening in a telemedicine system | |
de Moura et al. | Automatic characterization of the serous retinal detachment associated with the subretinal fluid presence in optical coherence tomography images | |
Giancardo | Automated fundus images analysis techniques to screen retinal diseases in diabetic patients | |
Burgos-Fernández et al. | Reflectance evaluation of eye fundus structures with a visible and near-infrared multispectral camera | |
Jelinek et al. | Computer Assisted ‘Top-Down’Assesment of Diabetic Retinopathy | |
Noronha et al. | A review of fundus image analysis for the automated detection of diabetic retinopathy |