Assessing domain adaptation techniques for mitosis detection in
multi-scanner breast cancer histopathology images

v1v2v3 (latest)

Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images

1 September 2021

Nicolas M. Orsi

Nishant Ravikumar

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Papers citing "Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images"

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Title
Synthetic DOmain-Targeted Augmentation (S-DOTA) Improves Model Generalization in Digital Pathology Sai Chowdary Gullapally Yibo Jacky Zhang Nitin Mittal Deeksha Kartik Sandhya Srinivasan ... Chintan Shah J. Abel D. Fahy A. Taylor-Weiner Anand Sampat 105 9 0 03 May 2023
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions Luyang Luo Xi Wang Yi Lin Xiaoqi Ma Andong Tan R. Chan V. Vardhanabhuti W. C. Chu Kwang-Ting Cheng Hao Chen 108 60 0 13 Apr 2023
Improving Mitosis Detection Via UNet-based Adversarial Domain Homogenizer Tirupati Saketh Chandra Sahar Almahfouz Nasser Nikhil Cherian Kurian A. Sethi MedIm 46 0 0 15 Sep 2022
Mitosis domain generalization in histopathology images -- The MIDOG challenge Marc Aubreville N. Stathonikos C. Bertram Robert Klopleisch N. T. ter Hoeve ... A. Khademi Sen Yang Xiyue Wang M. Veta Katharina Breininger 88 99 0 06 Apr 2022