Deep Learning-based mitosis detection in breast cancer histologic samples

Michel Halmes; Hippolyte Heuberger; Sylvain Berlemont

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arXiv · 2109.00816

Deep Learning-based mitosis detection in breast cancer histologic samples

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.

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Michel Halmes, Hippolyte Heuberger, Sylvain Berlemont. 2021-09-02. Deep Learning-based mitosis detection in breast cancer histologic samples. https://arxiv.org/abs/2109.00816

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