Exudate-based diabetic macular edema detection in fundus images using publicly available datasets
Diabetic macular edema (DME) is a common vision threatening complication of diabetic
retinopathy. In a large scale screening environment DME can be assessed by detecting …
retinopathy. In a large scale screening environment DME can be assessed by detecting …
Automatic retina exudates segmentation without a manually labelled training set
Diabetic macular edema (DME) is a common vision threatening complication of diabetic
retinopathy which can be assessed by detecting exudates (a type of bright lesion) in fundus …
retinopathy which can be assessed by detecting exudates (a type of bright lesion) in fundus …
Image processing
MD Abràmoff - Ryan's Retina. 6th ed. Amsterdam: Elsevier, 2017 - books.google.com
Optical Coherence Tomography Imaging Areas of Active Research in Retinal Imaging
Clinical Applications of Retinal Imaging Image Analysis Concepts for Clinicians Fundus …
Clinical Applications of Retinal Imaging Image Analysis Concepts for Clinicians Fundus …
A health insurance portability and accountability act–compliant ocular telehealth network for the remote diagnosis and management of diabetic retinopathy
In this article, we present the design and implementation of a regional ocular telehealth
network for remote assessment and management of diabetic retinopathy (DR), including the …
network for remote assessment and management of diabetic retinopathy (DR), including the …
Automated fundus images analysis techniques to screen retinal diseases in diabetic patients
L Giancardo - 2011 - theses.hal.science
In this Ph. D. thesis, we study new methods to analyse digital fundus images of diabetic
patients. In particular, we concentrate on the development of the algorithmic components of …
patients. In particular, we concentrate on the development of the algorithmic components of …
Automatic detection of retina disease: Robustness to image quality and localization of anatomy structure
The automated detection of diabetic retinopathy and other eye diseases in images of the
retina has great promise as a low-cost method for broad-based screening. Many systems in …
retina has great promise as a low-cost method for broad-based screening. Many systems in …
Image processing and hierarchical temporal memories for automated retina analysis
Due to the projected increase in the type 2 diabetes epidemic, there is a critical need for
widely available and inexpensive screening for diabetic retinopathy, a preventable …
widely available and inexpensive screening for diabetic retinopathy, a preventable …
Deep machine learning with spatio-temporal inference
TP Karnowski - 2012 - trace.tennessee.edu
Abstract Deep Machine Learning (DML) refers to methods which utilize hierarchies of more
than one or two layers of computational elements to achieve learning. DML may draw upon …
than one or two layers of computational elements to achieve learning. DML may draw upon …
Automated image analysis and the application of diagnostic algorithms in an ocular telehealth network
The application of computer-based imaging algorithms to the diagnosis of human disease is
already a reality, used routinely today in radiology, mammography, and pathology [1–3] …
already a reality, used routinely today in radiology, mammography, and pathology [1–3] …
Automating the diagnosis, stratification, and management of diabetic retinopathy using content-based image retrieval in an ocular telehealth network
Diabetic retinopathy (DR) is the leading cause of blindness among working aged adults in
the industrialized world. Diabetes currently affects 246 million people worldwide and is …
the industrialized world. Diabetes currently affects 246 million people worldwide and is …