PA‐ResSeg: A phase attention residual network for liver tumor segmentation from multiphase CT images-Reference-Cited by-同舟云学术

PA‐ResSeg: A phase attention residual network for liver tumor segmentation from multiphase CT images

Published:2021-05-30 Issue:7 Volume:48 Page:3752-3766
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Xu Yingying¹²,Cai Ming¹,Lin Lanfen¹,Zhang Yue¹,Hu Hongjie³,Peng Zhiyi⁴,Zhang Qiaowei³,Chen Qingqing³,Mao Xiongwei⁴,Iwamoto Yutaro⁵,Han Xian‐Hua⁶,Chen Yen‐Wei²⁵,Tong Ruofeng¹²

Affiliation:

1. College of Computer Science and Technology Zhejiang University Hangzhou Zhejiang China

2. Research Center for Healthcare Data Science Zhejiang Lab Hangzhou China

3. Department of Radiology Sir Run Run Shaw Hospital College of Medicine Zhejiang University Hangzhou Zhejiang China

4. Department of Radiology The First Affiliated Hospital College of Medicine Zhejiang University Hangzhou Zhejiang China

5. College of Information Science and Engineering Ritsumeikan University Kusatsu Shiga Japan

6. Artificial Intelligence Research Center Yamaguchi University Yamaguchi City Yamaguchi Japan

Funder

China Postdoctoral Science Foundation

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.14922

Reference46 articles.

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2. Automatic liver and lesion segmentation: a primary step in diagnosis of liver diseases

3. A Likelihood and Local Constraint Level Set Model for Liver Tumor Segmentation from CT Volumes

4. CT liver tumor segmentation hybrid approach using neutrosophic sets, fast fuzzy c-means and adaptive watershed algorithm

5. VorontsovE Abi‐JaoudehN KadouryS.Metastatic liver tumor segmentation using texture‐based omni‐directional deformable surface models. International MICCAI Workshop on Computational and Clinical Challenges in Abdominal Imaging. Springer.2014;74–83.

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