Automatic Liver Tumor Segmentation on Dynamic Contrast Enhanced MRI Using 4D Information: Deep Learning Model Based on 3D Convolution and Convolutional LSTM-Reference-Cited by-同舟云学术

Automatic Liver Tumor Segmentation on Dynamic Contrast Enhanced MRI Using 4D Information: Deep Learning Model Based on 3D Convolution and Convolutional LSTM

Published:2022-10 Issue:10 Volume:41 Page:2965-2976
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Zheng Rencheng¹,Wang Qidong²,Lv Shuangzhi²,Li Cuiping³,Wang Chengyan⁴^ORCID,Chen Weibo⁵^ORCID,Wang He¹^ORCID

Affiliation:

1. Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China

2. Department of Radiology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, China

3. Shanghai Zhiyu Software Information Company Ltd., Shanghai, China

4. Human Phenome Institute, Fudan University, Shanghai, China

5. Philips Healthcare, Shanghai, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Shanghai Municipal Science and Technology Major Project

ZJLab

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/ielx7/42/9906463/09775704.pdf?arnumber=9775704

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