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Geert Litjens

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Papers (13)

  1. Democratising Pathology Co-Pilots: An Open Pipeline and Dataset for Whole-Slide Vision-Language Modelling cs.CV · 2025 · author #6
  2. Dealing with Label Scarcity in Computational Pathology: A Use Case in Prostate Cancer Classification cs.CV · 2019 · author #3
  3. A large annotated medical image dataset for the development and evaluation of segmentation algorithms cs.CV · 2019 · author #9
  4. Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks cs.CV · 2018 · author #11
  5. Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard cs.CV · 2018 · author #10
  6. Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders cs.CV · 2018 · author #2
  7. Training convolutional neural networks with megapixel images cs.CV · 2018 · author #2
  8. Computer-aided diagnosis of lung carcinoma using deep learning - a pilot study cs.CV · 2018 · author #12
  9. Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images cs.CV · 2017 · author #8
  10. Comparison of Different Methods for Tissue Segmentation in Histopathological Whole-Slide Images cs.CV · 2017 · author #8
  11. The importance of stain normalization in colorectal tissue classification with convolutional networks cs.CV · 2017 · author #6
  12. A Survey on Deep Learning in Medical Image Analysis cs.CV · 2017 · author #1
  13. Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities cs.CV · 2016 · author #6

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