Deep Learning-based mitosis detection in breast cancer histologic samples

2021-09-02 · Michel Halmes, Hippolyte Heuberger, Sylvain Berlemont

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.

📄 PDF Abstract BibTeX arXiv:2109.00816

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Deep LearningMitosis Detection

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