RADCU-Net: residual attention and dual-supervision cascaded U-Net for retinal blood vessel segmentation

Refined tooth and pulp segmentation using U-Net in CBCT image

(2021) Wei Duan et al.   DENTOMAXILLOFACIAL RADIOLOGY

Fast and efficient retinal blood vessel segmentation method based on deep learning network

(2021) Henda Boudegga et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

MAD‐UNet: A deep U‐shaped network combined with an attention mechanism for pancreas segmentation in CT images

(2020) Weisheng Li et al.   MEDICAL PHYSICS

Lightweight Attention Convolutional Neural Network for Retinal Vessel Image Segmentation

(2020) Xiang Li et al.   IEEE Transactions on Industrial Informatics

A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification

(2020) Muthu Rama Krishnan Mookiah et al.   MEDICAL IMAGE ANALYSIS

CE-Net: Context Encoder Network for 2D Medical Image Segmentation

(2019) Zaiwang Gu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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 Using Minimum Spanning Superpixel Tree Detector

(2018) Bin Sheng et al.   IEEE Transactions on Cybernetics

Mapping Functions Driven Robust Retinal Vessel Segmentation via Training Patches

(2018) Haiying Xia et al.   IEEE Access

Blood vessel segmentation from fundus image by a cascade classification framework

(2018) Xiaohong Wang et al.   PATTERN RECOGNITION

A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images

(2017) Jose Ignacio Orlando et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores

(2016) Jiong Zhang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

A Morphological Hessian Based Approach for Retinal Blood Vessels Segmentation and Denoising Using Region Based Otsu Thresholding

(2016) Khan BahadarKhan et al.   PLoS One

Iterative Vessel Segmentation of Fundus Images

(2015) Sohini Roychowdhury et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Vessel extraction from non-fluorescein fundus images using orientation-aware detector

(2015) Benjun Yin et al.   MEDICAL IMAGE ANALYSIS

Trainable COSFIRE filters for vessel delineation with application to retinal images

(2015) George Azzopardi et al.   MEDICAL IMAGE ANALYSIS

Discriminative vessel segmentation in retinal images by fusing context-aware hybrid features

(2014) Erkang Cheng et al.   MACHINE VISION AND APPLICATIONS

An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation

(2012) Muhammad Moazam Fraz et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

An approach to localize the retinal blood vessels using bit planes and centerline detection

(2011) M.M. Fraz et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Segmentation of retinal blood vessels using the radial projection and semi-supervised approach

(2011) Xinge You et al.   PATTERN RECOGNITION

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