Maher et al., 2015 - Google Patents
Evaluation of a system for automatic detection of diabetic retinopathy from color fundus photographs for screening populationMaher et al., 2015
View PDF- Document ID
- 17332291683931073873
- Author
- Maher R
- Kayte S
- Dhopeshwarkar M
- Publication year
- Publication venue
- International Journal of Computer Applications
External Links
Snippet
Diabetic Retinopathy is an eye disease and a common complication of diabetes that can cause vision loss if left undiagnosed at the initial stage. It is the prime cause of blindness in the working age population of the world. Colour fundus images of eyes are used by …
- 206010012689 Diabetic retinopathy 0 title abstract description 36
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
- A61B3/10—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
- A61B3/1241—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 specially adapted for observation of ocular blood flow, e.g. by fluorescein angiography
-
- 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
- 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
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/14—Arrangements specially adapted for eye photography
-
- 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
- A61B3/113—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for determining or recording eye movement
-
- 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
- A61B3/02—Subjective types, i.e. testing apparatus requiring the active assistance of the patient
- A61B3/024—Subjective types, i.e. testing apparatus requiring the active assistance of the patient for determining the visual field, e.g. perimeter types
-
- 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
-
- 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
- A61B5/40—Detecting, measuring or recording for evaluating the nervous system
- A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
-
- 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
-
- 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
- G06T7/0014—Biomedical image inspection using an image reference approach
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Nayak et al. | Automated identification of diabetic retinopathy stages using digital fundus images | |
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 | |
Niemeijer et al. | Automated detection and differentiation of drusen, exudates, and cotton-wool spots in digital color fundus photographs for diabetic retinopathy diagnosis | |
Hassan et al. | Automated retinal edema detection from fundus and optical coherence tomography scans | |
Maher et al. | Automated diagnosis non-proliferative diabetic retinopathy in fundus images using support vector machine | |
Agrawal et al. | A survey on automated microaneurysm detection in diabetic retinopathy retinal images | |
Zubair et al. | Automated grading of diabetic macular edema using color retinal photographs | |
Giancardo | Automated fundus images analysis techniques to screen retinal diseases in diabetic patients | |
Pinos-Velez et al. | Implementation of support tools for the presumptive diagnosis of Glaucoma through identification and processing of medical images of the human eye | |
Maher et al. | Evaluation of a system for automatic detection of diabetic retinopathy from color fundus photographs for screening population | |
Patankar et al. | Diagnosis of Ophthalmic Diseases in Fundus Image Using various Machine Learning Techniques | |
Noronha et al. | A review of fundus image analysis for the automated detection of diabetic retinopathy | |
Raman et al. | The effects of spatial resolution on an automated diabetic retinopathy screening system's performance in detecting microaneurysms for diabetic retinopathy | |
Odstrcilik et al. | Analysis of retinal nerve fiber layer via Markov random fields in color fundus images | |
Kook et al. | Scanning laser polarimetry using variable corneal compensation in the detection of glaucoma with localized visual field defects | |
Salam et al. | Benchmark data set for glaucoma detection with annotated cup to disc ratio | |
Gandhimathi et al. | Detection of neovascularization in proliferative diabetic retinopathy fundus images. | |
Padmasini et al. | Comparative study of iris and retinal images for early detection of diabetic mellitus | |
Raju Maher et al. | Review of automated detection for diabetes retinopathy using fundus images | |
Siddalingaswamy et al. | Automatic detection and grading of severity level in exudative maculopathy | |
Listyalina et al. | Detection of optic disc centre point in retinal image | |
Sathananthavathi et al. | Case studies of cognitive computing in healthcare systems: Disease prediction, genomics studies, medical image analysis, patient care, medical diagnostics, drug discovery | |
Hakeem et al. | Inception V3 and CNN Approach to Classify Diabetic Retinopathy Disease | |
Maher et al. | Automatic detection non-proliferative diabetic retinopathy using image processing techniques | |
Padmapriya et al. | Image Processing Techniques in the Detection of Hemorrhages in Retinal Images (STARE & DRIVE) |