CCT-Unet: A U-Shaped Network Based on Convolution Coupled Transformer for Segmentation of Peripheral and Transition Zones in Prostate MRI
Author:
Affiliation:
1. Smart Medicine and AI-based Radiology Technology (SMART) Lab, School of Communication and Information Engineering, Shanghai University, Shanghai, China
2. Department of Urology, Huashan Hospital, Fudan University, Shanghai, China
Funder
National Natural Science Foundation of China
Shanghai Municipal Health Commission
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics
Link
http://xplorestaging.ieee.org/ielx7/6221020/10242175/10164248.pdf?arnumber=10164248
Reference40 articles.
1. Automatic prostate and prostate zones segmentation of magnetic resonance images using DenseNet-like U-net
2. MISSFormer: An Effective Transformer for 2D Medical Image Segmentation
3. Segmentation of the Prostate Transition Zone and Peripheral Zone on MR Images with Deep Learning
4. Attention gated networks: Learning to leverage salient regions in medical images;oktay;Med Image Anal,2019
5. Attention is all you need;vaswani;Proc Adv Neural Inf Process Syst,2017
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