A Two-Phase Mitosis Detection Approach Based on U-Shaped Network

Biomed Res Int. 2021 Oct 5;2021:1722652. doi: 10.1155/2021/1722652. eCollection 2021.ABSTRACTThis paper proposes a deep learning-based method for mitosis detection in breast histopathology images. A main problem in mitosis detection is that most of the datasets only have weak labels, i.e., only the coordinates indicating the center of the mitosis region. This makes most of the existing powerful object detection methods hardly be used in mitosis detection. Aiming at solving this problem, this paper firstly applies a CNN-based algorithm to pixelwisely segment the mitosis regions, based on which bounding boxes of mitosis are generated as strong labels. Based on the generated bounding boxes, an object detection network is trained to accomplish mitosis detection. Experimental results show that the proposed method is effective in detecting mitosis, and the accuracies outperform state-of-the-art literatures.PMID:34651044 | PMC:PMC8510810 | DOI:10.1155/2021/1722652
Source: Biomed Res - Category: Research Authors: Source Type: research