[HTML][HTML] A review of the application of deep learning in medical image classification and segmentation
L Cai, J Gao, D Zhao - Annals of translational medicine, 2020 - ncbi.nlm.nih.gov
Big medical data mainly include electronic health record data, medical image data, gene
information data, etc. Among them, medical image data account for the vast majority of …
information data, etc. Among them, medical image data account for the vast majority of …
Machine learning applied to retinal image processing for glaucoma detection: review and perspective
Introduction This is a systematic review on the main algorithms using machine learning (ML)
in retinal image processing for glaucoma diagnosis and detection. ML has proven to be a …
in retinal image processing for glaucoma diagnosis and detection. ML has proven to be a …
Bridge-Net: Context-involved U-net with patch-based loss weight mapping for retinal blood vessel segmentation
Retinal blood vessel segmentation in fundus images plays an important role in the early
diagnosis and treatment of retinal diseases. In recent years, the segmentation methods …
diagnosis and treatment of retinal diseases. In recent years, the segmentation methods …
Retinal vessel segmentation of color fundus images using multiscale convolutional neural network with an improved cross-entropy loss function
K Hu, Z Zhang, X Niu, Y Zhang, C Cao, F Xiao, X Gao - Neurocomputing, 2018 - Elsevier
Retinal vessel analysis of fundus images is an indispensable method for the screening and
diagnosis of related diseases. In this paper, we propose a novel retinal vessel segmentation …
diagnosis of related diseases. In this paper, we propose a novel retinal vessel segmentation …
A novel approach for diabetic retinopathy screening using asymmetric deep learning features
Automatic screening of diabetic retinopathy (DR) is a well-identified area of research in the
domain of computer vision. It is challenging due to structural complexity and a marginal …
domain of computer vision. It is challenging due to structural complexity and a marginal …
Segmentation of optic disc, fovea and retinal vasculature using a single convolutional neural network
We have developed and trained a convolutional neural network to automatically and
simultaneously segment optic disc, fovea and blood vessels. Fundus images were …
simultaneously segment optic disc, fovea and blood vessels. Fundus images were …
Fast and efficient retinal blood vessel segmentation method based on deep learning network
The segmentation of the retinal vascular tree presents a major step for detecting ocular
pathologies. The clinical context expects higher segmentation performance with a reduced …
pathologies. The clinical context expects higher segmentation performance with a reduced …
CRAUNet: A cascaded residual attention U-Net for retinal vessel segmentation
F Dong, D Wu, C Guo, S Zhang, B Yang… - Computers in Biology and …, 2022 - Elsevier
Retinal vessels play an important role in judging many eye-related diseases, so accurate
segmentation of retinal vessels has become the key to auxiliary diagnosis. In this paper, we …
segmentation of retinal vessels has become the key to auxiliary diagnosis. In this paper, we …
Referable diabetic retinopathy identification from eye fundus images with weighted path for convolutional neural network
Diabetic retinopathy (DR) is the most common cause of blindness in middle-age subjects
and low DR screening rates demonstrates the need for an automated image assessment …
and low DR screening rates demonstrates the need for an automated image assessment …
Diabetic retinopathy techniques in retinal images: A review
N Salamat, MMS Missen, A Rashid - Artificial intelligence in medicine, 2019 - Elsevier
The diabetic retinopathy is the main reason of vision loss in people. Medical experts
recognize some clinical, geometrical and haemodynamic features of diabetic retinopathy …
recognize some clinical, geometrical and haemodynamic features of diabetic retinopathy …