Incremental Instance Segmentation for the Gleason Tissues Driven Prostate Cancer Prognosis-Reference-Cited by-同舟云学术

Incremental Instance Segmentation for the Gleason Tissues Driven Prostate Cancer Prognosis

Published:2022-05-24 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Digital Futures and Transformative Technologies (ICoDT2)
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Author:

Hassan Taimur¹,Ahmed Abdelfatah²,Hassan Bilal²,Shafay Muhammad²,ElBaz Ayman¹,Dias Jorge³,Werghi Naoufel²

Affiliation:

1. Khalifa University,KUCARS,Department of Electrical Engineering and Computer Science,Abu Dhabi,United Arab Emirates

2. Khalifa University,C2PS and KUCARS,Department of Electrical Engineering and Computer Science,Abu Dhabi,United Arab Emirates

3. University of Louisville,Department of Bioengineering Speed School of Engineering,Louisville,Kentucky,United States of America

Funder

Terry Fox Foundation

Publisher

IEEE

Link

Reference50 articles.

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1. Prostate Cancer Gleason Score Classification Using Transfer Learning Models;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-03-07

2. A Comprehensive Review on Deep Learning Approach for Prostate Cancer Gleason Grading;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2023-11-10