Encoder Enhanced Atrous (EEA) Unet architecture for Retinal Blood vessel segmentation

Multi-path convolutional neural network in fundus segmentation of blood vessels

(2020) Chun Tian et al.   Biocybernetics and Biomedical Engineering

A State-of-the-Art Survey on Deep Learning Theory and Architectures

(2019) Md Zahangir Alom et al.   Electronics

Parallel Architecture of Fully Convolved Neural Network for Retinal Vessel Segmentation

(2019) Sathananthavathi .V et al.   JOURNAL OF DIGITAL IMAGING

Brain Tumor Detection using Fusion of Hand Crafted and Deep Learning Features

(2019) Tanzila Saba et al.   Cognitive Systems Research

Convolutional neural network with batch normalization for glioma and stroke lesion detection using MRI

(2019) Javaria Amin et al.   Cognitive Systems Research

Retinal vessel segmentation by a divide-and-conquer funnel-structured classification framework

(2019) Xiaohong Wang et al.   SIGNAL PROCESSING

A performance comparison between shallow and deeper neural networks supervised classification of tomosynthesis breast lesions images

(2018) Vitoantonio Bevilacqua et al.   Cognitive Systems Research

Retinal blood vessel segmentation using fully convolutional network with transfer learning

(2018) Zhexin Jiang et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Retinal Vessel Segmentation based on Fully Convolutional Neural Networks

(2018) Américo Filipe Moreira Oliveira et al.   EXPERT SYSTEMS WITH APPLICATIONS

Joint Segment-level and Pixel-wise Losses for Deep Learning based Retinal Vessel Segmentation

(2018) Zengqiang Yan et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Retinal vessel segmentation of color fundus images using multiscale convolutional neural network with an improved cross-entropy loss function

(2018) Kai Hu et al.   NEUROCOMPUTING

Impact of ICA-Based Image Enhancement Technique on Retinal Blood Vessels Segmentation

(2018) Toufique Ahmed Soomro et al.   IEEE Access

Deep learning: Evolution and expansion

(2018) Ritika Wason   Cognitive Systems Research

A novel retinal vessel detection approach based on multiple deep convolution neural networks

(2018) Yanhui Guo et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Application of deep transfer learning for automated brain abnormality classification using MR images

(2018) Muhammed Talo et al.   Cognitive Systems Research

Automatic skin lesions segmentation based on a new morphological approach via geodesic active contour

(2018) Francisco Fábio Ximenes Vasconcelos et al.   Cognitive Systems Research

Fully Convolutional Networks for Semantic Segmentation

(2017) Evan Shelhamer et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Cross-Modality Learning Approach for Vessel Segmentation in Retinal Images

(2016) Qiaoliang Li et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Segmenting Retinal Blood Vessels With _newline Deep Neural Networks

(2016) Pawel Liskowski et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Hierarchical retinal blood vessel segmentation based on feature and ensemble learning

(2015) Shuangling Wang et al.   NEUROCOMPUTING

A New Supervised Method for Blood Vessel Segmentation in Retinal Images by Using Gray-Level and Moment Invariants-Based Features

(2010) D Marín et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING