@inproceedings{1d312d9387ba4c1e82ed3826a9337dce,
title = "Detecting Mitoses with a Convolutional Neural Network for MIDOG 2022 Challenge",
keywords = "Class activation map, Convolutional neural network, Domain shift, Mitosis detection",
author = "Hongyan Gu and Mohammad Haeri and Shuo Ni and Williams, {Christopher Kazu} and Neda Zarrin-Khameh and Shino Magaki and Chen, {Xiang {\textquoteleft}Anthony{\textquoteright}}",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 25th International Conference on Medical Image Computing and Computer-Assisted Intervention , MICCAI 2022 ; Conference date: 18-09-2022 Through 22-09-2022",
year = "2023",
doi = "10.1007/978-3-031-33658-4_21",
language = "English",
isbn = "9783031336577",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "211--216",
editor = "Bin Sheng and Marc Aubreville",
booktitle = "Mitosis Domain Generalization and Diabetic Retinopathy Analysis - MICCAI Challenges MIDOG 2022 and DRAC 2022, Held in Conjunction with MICCAI 2022, Proceedings",
}