Detecting Mitoses with a Convolutional Neural Network for MIDOG 2022 Challenge. (arXiv:2208.12437v1 [cs.CV])

This work presents a mitosis detection method with only one vanilla
Convolutional Neural Network (CNN). Our approach consists of two steps: given
an image, we first apply a CNN using a sliding window technique to extract
patches that have mitoses; we then calculate each extracted patch's class
activation map to obtain the mitosis's precise location. To increase the model
generalizability, we train the CNN with a series of data augmentation
techniques, a loss that copes with noise-labeled images, and an …

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