TP-Net: Two-Path Network for Retinal Vessel Segmentation

Author:

Qu Zhiwei1ORCID,Zhuo Li1ORCID,Cao Jie1,Li Xiaoguang1ORCID,Yin Hongxia2ORCID,Wang Zhenchang2ORCID

Affiliation:

1. Faculty of Information Technology, Beiing University of Technology, Beijing, China

2. Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China

Funder

R&D Program of Beijing Municipal Education Commission

Natural Science Foundation of Beijing

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Reference46 articles.

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2. Distance map loss penalty term for semantic segmentation;caliva;Proc Int Conf Med Imag Deep Learn -Extended Abstract Track,0

3. UNet++: A nested U-net architecture for medical image segmentation;zhou;Proc Int Workshop Deep Learn Med Image Anal Multimodal Learn for Clin Decis Support,0

4. Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge, and Skeleton

5. UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

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1. Curve-Like Structure Detection Using Multiscale and Boundary-Assisted Segmentation Network;IEEE Transactions on Instrumentation and Measurement;2024

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