What will regularized continuous learning performs if it was used to medical image segmentation: a preliminary analysis-Reference-Cited by-同舟云学术

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What will regularized continuous learning performs if it was used to medical image segmentation: a preliminary analysis

Published:2023-12-05 Issue: Volume: Page:1860-1863
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
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Author:

Dai Weihao¹,Feng Chaolu²,Chen Shuaizheng¹,Li Wei¹,Yang Jinzhu³,Zhao Dazhe²

Affiliation:

1. Northeastern University,College of Computer Science and Engineering,Shenyang,China

2. Computing in Medical Image (MIIC) Ministry of Education,Key Laboratory of Intelligent,Shenyang,China

3. National Frontiers Science Center for Industrial Intelligence and Systems Optimization,Shenyang,China,110819

Funder

Natural Science Foundation of Liaoning Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385386.pdf?arnumber=10385386

Reference20 articles.

1. Segmentation of Pericardial Adipose Tissue in CMR Images: A Benchmark Dataset MRPEAT and a Triple-Stage Network 3SUnet

2. Measuring Catastrophic Forgetting in Neural Networks

3. A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols

4. Continual lifelong learning with neural networks: A review

5. A continual learning survey: Defying forgetting in classification tasks

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