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Computer Science > Computer Vision and Pattern Recognition

arXiv:2109.00816 (cs)
[Submitted on 2 Sep 2021]

Title:Deep Learning-based mitosis detection in breast cancer histologic samples

Authors:Michel Halmes, Hippolyte Heuberger, Sylvain Berlemont
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Abstract:This is the submission for mitosis detection in the context of the MIDOG 2021 challenge. It is based on the two-stage objection model Faster RCNN as well as DenseNet as a backbone for the neural network architecture. It achieves a F1-score of 0.6645 on the Preliminary Test Phase Leaderboard.
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
Cite as: arXiv:2109.00816 [cs.CV]
  (or arXiv:2109.00816v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2109.00816

Submission history

From: Hippolyte Heuberger [view email]
[v1] Thu, 2 Sep 2021 09:47:43 UTC (14 KB)
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