Weakly-Supervised 3D Medical Image Segmentation Using Geometric Prior and Contrastive Similarity-Reference-Cited by-同舟云学术

Weakly-Supervised 3D Medical Image Segmentation Using Geometric Prior and Contrastive Similarity

Published:2023-10 Issue:10 Volume:42 Page:2936-2947
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Du Hao¹^ORCID,Dong Qihua¹^ORCID,Xu Yan²^ORCID,Liao Jing¹^ORCID

Affiliation:

1. Department of Computer Science, City University of Hong Kong, Hong Kong, China

2. School of Biological Science and Medical Engineering, Beihang University, Beijing, China

Funder

Hong Kong Special Administrative Region (HKSAR) Innovation and Technology Commission (ITC) under Innovation and Technology Fund

Beijing Natural Science Foundation

National Natural Science Foundation in China

111 Project in China

High Performance Computing (HPC) Resources at Beihang University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/42/10269089/10107484.pdf?arnumber=10107484

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4. The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge;heller;Med Image Anal,2020

5. What’s the point: Semantic segmentation with point supervision;bearman;Proc Eur Conf Comput Vis,2016

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