S<sup>3</sup>R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites-Reference-Cited by-同舟云学术

S³R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites

Published:2023-09 Issue:9 Volume:42 Page:2539-2551
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Zhang Jingyang¹^ORCID,Gu Ran²^ORCID,Xue Peng³^ORCID,Liu Mianxin³^ORCID,Zheng Hao⁴^ORCID,Zheng Yefeng⁴^ORCID,Ma Lei³^ORCID,Wang Guotai²^ORCID,Gu Lixu¹^ORCID

Affiliation:

1. School of Biomedical Engineering and the Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China

2. School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China

3. School of Biomedical Engineering, ShanghaiTech University, Shanghai, China

4. Tencent Jarvis Lab, Shenzhen, China

Funder

National Key Research and Development Program

863 National Research Fund

National Natural Science Foundation of China

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/ielx7/42/10236920/10078916.pdf?arnumber=10078916

Reference54 articles.

1. Memory Aware Synapses: Learning What (not) to Forget

2. Growing a Brain: Fine-Tuning by Increasing Model Capacity

3. Continual learning through synaptic intelligence;zenke;Proc Int Conf Mach Learn,2017

4. Overcoming catastrophic forgetting in neural networks

5. The ventral visual pathway: an expanded neural framework for the processing of object quality

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Construction of unbiased dental template and parametric dental model for precision digital dentistry;Biomedical Signal Processing and Control;2024-09

2. Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentation;Medical Image Analysis;2024-05