Self-Supervised Learning For Detection Of Breast Cancer In Surgical Margins With Limited Data-Reference-Cited by-同舟云学术

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Self-Supervised Learning For Detection Of Breast Cancer In Surgical Margins With Limited Data

Published:2021-04-13 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)
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Author:

Santilli Alice M.L.,Jamzad Amoon,Sedghi Alireza,Kaufmann Martin,Merchant Shaila,Engel Jay,Logan Kathryn,Wallis Julie,Janssen Natasja,Varmak Sonal,Fichtinger Gabor,Rudan John F.,Mousavi Parvin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9433749/9433753/09433829.pdf?arnumber=9433829

Cited by 8 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. Enhancing Breast Cancer Detection: A Machine Learning Approach for Early Diagnosis and Classification;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28

2. Breast Cancer Prediction Based on Feature Extraction using Hybrid Methodologies;International Journal of Soft Computing and Engineering;2023-05-30

3. Self-supervised learning and uncertainty estimation for surgical margin detection;Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling;2023-04-03

4. A Deep Learning Model for Detection Cancer in Breast;International Journal of Advanced Research in Science, Communication and Technology;2023-04-02

5. Bridging Ex-Vivo Training and Intra-operative Deployment for Surgical Margin Assessment with Evidential Graph Transformer;Lecture Notes in Computer Science;2023

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