Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks

Tellez, David, Balkenhol, Maschenka, Otte-Höller, Irene, van de Loo, Rob, Vogels, Rob, Bult, Peter, Wauters, Carla, Vreuls, Willem, Mol, Suzanne, Karssemeijer, Nico, Litjens, Geert, van der Laak, Jeroen, Ciompi, Francesco·2018·IEEE Transactions on Medical Imaging

Cited by (289)

Items 201–289 of 289

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  3. Dual-Stage Domain Adaptive Mitosis Detection for Histopathology Images
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  7. A Fast Pyramidal Bayesian Model for Mitosis Detection in Whole-Slide Images
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  10. Dynamic feature extraction and histopathology domain shift alignment for mitosis detection
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  12. U-Net based mitosis detection from H&E-stained images with the semi-automatic annotation using pHH3 IHC-stained images
    Jiaming Li, Toshiyuki Adachi, Saori Takeyama, Masahiro Yamaguchi, Yukako Yagi · 2022 · SPIE Medical Imaging: Image Processing
  13. Stain-AgLr: Stain Agnostic Learning for Computational Histopathology Using Domain Consistency and Stain Regeneration Loss
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  14. Assessing and Enhancing Robustness of Deep Learning Models with Corruption Emulation in Digital Pathology
    Peixiang Huang, Songtao Zhang, Yulu Gan, Rui Xu, Rongqi Zhu, Wenkang Qin, Limei Guo, Shan Jiang, Lin Luo · 2023 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  15. Automated mitotic spindle hotspot counts are highly associated with clinical outcomes in systemically untreated early-stage triple-negative breast cancer
    Roberto Antonio Leon-Ferre, Jodi M. Carter, David M. Zahrieh, Jason P. Sinnwell, Roberto Salgado, Vera Jean Suman, David W. Hillman, Judy Caroline Boughey, Krishna R. Kalari, Fergus J. Couch et al. · 2024 · npj Breast Cancer
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  19. Tumor Nuclei Detection in Histopathology Images Using R-CNN
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  26. PathoWAve: A Deep Learning-Based Weight Averaging Method for Improving Domain Generalization in Histopathology Images
    Parastoo Sotoudeh Sharifi, Muneer Ahmad, M.N.S. Swamy · 2024 · IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)
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  28. Deep learning finds convergent melanocytic morphology despite noisy archival slides
    Mikio Tada, Garrett Gaskins, Sina Ghandian, Nicholas C. Mew, Michael J. Keiser, Elizabeth Keiser · 2025 · Cell Reports Methods
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  36. Stain Standardization Capsule: A pre-processing module for histopathological image analysis
    Yushan Zheng, Zhiguo Jiang, Haopeng Zhang, Jun Shi, Fengying Xie · 2019
  37. AIM in Surgical Pathology
    Clare McGenity, Alex Wright, Darren E. Treanor · 2022 · Springer eBooks
  38. qPaLM: quantifying occult microarchitectural relationships in histopathological landscapes
    Timothy James Kendall, Catherine M Duff, Andrew M Thomson, John Peter Iredale · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
  39. A Semi-Supervised Framework for Automatic Pixel-Wise Breast Cancer Grading of Histological Images
    Yanyuet Man, Xiangyun Ding, Xingcheng Yao, Han Bao · 2019 · arXiv (Cornell University)
  40. [Digital Pathology: Current Status and Prospects of Clinical Application].
    Jian-Guo Yao · 2021 · PubMed Central
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  42. A Brief Review of Computer-aided Whole-slide Image Detection Techniques
    Xintong Li, Chen Li, Xiaoqi Li, Jian Wu, Xiaoyan Li · 2020 · International Symposium on Image Computing and Digital Medicine (ISICDM)
  43. Maurice Blanchot (Book)
    Fred Botting · 1997 · European Journal of English Studies
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  46. Table of contents
    2018 · IEEE Transactions on Medical Imaging
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    Jakob Dexl, Michaela Benz, Petr Kuritcyn, Thomas C. Wittenberg, Volker Bruns, Carol E. Geppert, Arndt Hartmann, Bernd Bischl, Jann Goschenhofer · 2022 · Current Directions in Biomedical Engineering
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  50. Prognostic value of deep learning based mitotic count in hormonal receptor- and HER2-positive breast cancer
    Maschenka C. A. Balkenhol, Caner Mercan, Leslie Tessier, David Tellez, Roberto Salgado, Heikki Joensuu, Sherene Loi, Stefan Michiels, Denis Larsimont, Anne-Sophie Wegscheider et al. · 2023 · Research Square
  51. Artificial Intelligence in Breast Pathology
    Nermeen Chaudhry, Zaibo Li, Anil Vasdev Parwani · 2023 · Springer eBooks
  52. Domain generalization across tumor types, laboratories, and species -- insights from the 2022 edition of the Mitosis Domain Generalization Challenge
    Marc Aubreville, Nikolas Stathonikos, Taryn Donovan, Robert Klopfleisch, Jonathan Ganz, Jonas Ammeling, Frauke Wilm, Mitko Veta, Samir Jabari, Markus Eckstein et al. · 2023 · arXiv (Cornell University)
  53. A domain-invariant feature learning framework for histopathology images
    Kun Fang, Guangtai Ding · 2023 · International Conference on Advanced Algorithms and Neural Networks (AANN)
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    Monika Subramanian, Nagarajan Ganesan, Sathishkumar Balasubramaniyan · 2023 · Advances in engineering research/Advances in Engineering Research
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  62. Machine-learning convergent melanocytic morphology despite noisy archival slides
    Mikio Tada, Garrett Gaskins, Sina Ghandian, Nicholas C. Mew, Michael J. Keiser, Elizabeth Keiser · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
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    Maryam Saeidifar, Hamid Reza Mirzaei, Ghazaleh Rahimi, Robert B. Macgregor, Seyed Mojtaba Daghighi · 2025 · Applied Organometallic Chemistry
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  69. Additional file 2 of Quantitative assessment of H&E staining for pathology: development and clinical evaluation of a novel system
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  71. Additional file 1 of Quantitative assessment of H&E staining for pathology: development and clinical evaluation of a novel system
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