AIMC Topic: Exudates and Transudates
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Automatic Grading System for Diabetic Retinopathy Diagnosis Using Deep Learning Artificial Intelligence Software.
Current eye research
May 15, 2020
: To describe the development and validation of an artificial intelligence-based, deep learning algorithm (DeepDR) for the detection of diabetic retinopathy (DR) in retinal fundus photographs. : Five hundred fundus images, which had detailed labellin...
Hard exudate detection based on deep model learned information and multi-feature joint representation for diabetic retinopathy screening.
Computer methods and programs in biomedicine
Feb 15, 2020
BACKGROUND AND OBJECTIVE: Diabetic retinopathy (DR), which is generally diagnosed by the presence of hemorrhages and hard exudates, is one of the most prevalent causes of visual impairment and blindness. Early detection of hard exudates (HEs) in colo...
Fundus images analysis using deep features for detection of exudates, hemorrhages and microaneurysms.
BMC ophthalmology
Nov 6, 2018
BACKGROUND: Convolution neural networks have been considered for automatic analysis of fundus images to detect signs of diabetic retinopathy but suffer from low sensitivity.
The comparison of pleural fluid TNF-α levels in tuberculous and nontuberculous pleural effusion.
The Indian journal of tuberculosis
Jun 8, 2018
BACKGROUND: Tuberculous pleural effusion is the manifestation of Mycobacterium tuberculosis infection in pleura. With existing means, it is difficult to establish the diagnosis of tuberculosis (TB) and non-TB pleural effusions; thus, establishing the...
Supervised learning and dimension reduction techniques for quantification of retinal fluid in optical coherence tomography images.
Eye (London, England)
Apr 21, 2017
PurposeThe purpose of the present study is to develop fast automated quantification of retinal fluid in optical coherence tomography (OCT) image sets.MethodsWe developed an image analysis pipeline tailored towards OCT images that consists of five ste...
Detection of exudates in fundus photographs using deep neural networks and anatomical landmark detection fusion.
Computer methods and programs in biomedicine
Oct 6, 2016
BACKGROUND AND OBJECTIVE: Diabetic retinopathy is one of the leading disabling chronic diseases and one of the leading causes of preventable blindness in developed world. Early diagnosis of diabetic retinopathy enables timely treatment and in order t...
[Diagnosis of malignant pleural effusions using convolutional neural networks by the morphometric image analysis of facies of pleural exudate].
Khirurgiia
Jan 1, 2020
OBJECTIVE: To estimate the possibility of diagnosis of malignant pleural effusion using convolutional neural networks of facies images of pleural exudates obtained by the method of wedge-shaped dehydration.
Introducing a Novel Layer in Convolutional Neural Network for Automatic Identification of Diabetic Retinopathy.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2018
Convolutional neural networks have been widely used for identifying diabetic retinopathy on color fundus images. For such application, we proposed a novel framework for the convolutional neural network architecture by embedding a preprocessing layer ...
Diabetic macular edema grading in retinal images using vector quantization and semi-supervised learning.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2018
BACKGROUND: Diabetic macular edema (DME) is one of the severe complication of diabetic retinopathy causing severe vision loss and leads to blindness in severe cases if left untreated.
Retinal Lesion Detection With Deep Learning Using Image Patches.
Investigative ophthalmology & visual science
Jan 1, 2018
PURPOSE: To develop an automated method of localizing and discerning multiple types of findings in retinal images using a limited set of training data without hard-coded feature extraction as a step toward generalizing these methods to rare disease d...
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