A Lightweight Network for Accurate Coronary Artery Segmentation Using X-Ray Angiograms

Attention-inception-based U-Net for retinal vessel segmentation with advanced residual

(2022) Huadeng Wang et al.   COMPUTERS & ELECTRICAL ENGINEERING

CNL-UNet: A novel lightweight deep learning architecture for multimodal biomedical image segmentation with false output suppression

(2021) Md. Badiuzzaman Shuvo et al.   Biomedical Signal Processing and Control

CCAFFMNet: Dual-spectral semantic segmentation network with channel-coordinate attention feature fusion module

(2021) Shi Yi et al.   NEUROCOMPUTING

Edge-aware U-net with gated convolution for retinal vessel segmentation

(2021) Yu Zhang et al.   Biomedical Signal Processing and Control

Main Coronary Vessel Segmentation Using Deep Learning in Smart Medical

(2020) Zhanchao Xian et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Coronary angiography image segmentation based on PSPNet

(2020) Xiliang Zhu et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

VSSC Net: Vessel Specific Skip chain Convolutional Network for blood vessel segmentation

(2020) Pearl Mary Samuel et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Automatic Segmentation of Coronary Arteries in X-ray Angiograms using Multiscale Analysis and Artificial Neural Networks

(2019) Fernando Cervantes-Sanchez et al.   Applied Sciences-Basel

Segmentation of vessels in angiograms using convolutional neural networks

(2018) E. Nasr-Esfahani et al.   Biomedical Signal Processing and Control

Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics

(2018) Sara Moccia et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

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

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

Multichannel Fully Convolutional Network for Coronary Artery Segmentation in X-Ray Angiograms

(2018) Jingfan Fan et al.   IEEE Access

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Fully Convolutional Networks for Semantic Segmentation

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

Holistically-Nested Edge Detection

(2017) Saining Xie et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Automatic segmentation of coronary arteries using Gabor filters and thresholding based on multiobjective optimization

(2016) Ivan Cruz-Aceves et al.   Biomedical Signal Processing and Control

A robust coronary artery identification and centerline extraction method in angiographies

(2015) Zhixun Li et al.   Biomedical Signal Processing and Control

Global, regional, and national age–sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013

(2015)   LANCET

Correction: Retinal Vessel Segmentation: An Efficient Graph Cut Approach with Retinex and Local Phase

(2015) Yitian Zhao et al.   PLoS One

Retinal vessels segmentation based on level set and region growing

(2014) Yu Qian Zhao et al.   PATTERN RECOGNITION

Filtering Airborne Lidar Data by Modified White Top-Hat Transform with Directional Edge Constraints

(2014) Yong Li et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Blood vessel segmentation methodologies in retinal images – A survey

(2012) M.M. Fraz et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Morphological image fusion using the extracted image regions and details based on multi-scale top-hat transform and toggle contrast operator

(2012) Xiangzhi Bai   DIGITAL SIGNAL PROCESSING

Novel Approach for 3-D Reconstruction of Coronary Arteries From Two Uncalibrated Angiographic Images

(2009) Jian Yang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING