CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI-Reference-Cited by-同舟云学术

CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI

Author:

Hung Alex Ling Yu¹^ORCID,Zheng Haoxin¹,Miao Qi²,Raman Steven S.²,Terzopoulos Demetri³,Sung Kyunghyun²^ORCID

Affiliation:

1. Computer Science Department and the Department of Radiological Sciences, Los Angeles (UCLA), University of California, Los Angeles, CA, USA

2. Department of Radiological Sciences, Los Angeles (UCLA), University of California, Los Angeles, CA, USA

3. Computer Science Department, Los Angeles (UCLA), University of California, Los Angeles, CA, USA

Funder

National Institutes of Health

Integrated Diagnostics Program, Departments of Radiological Sciences and Pathology, David Geffen School of Medicine, UCLA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

Reference67 articles.

1. 3D U-Net: Learning dense volumetric segmentation from sparse annotation;çiçek;Proc Int Conf Med Image Comput Comput -Assist Intervent,2016

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