检索结果-内蒙古大学图书馆

arXiv 2021年

作者： Chung, Youjin Cho, Jihoon Park, Jinah Computer Graphics and Visualizations lab School of Computing Korea Advanced Institute of Science and Technology Daejeon Korea Republic of

We propose a new training scheme for domain generalization in mitotic figure detection. Mitotic figures show different characteristics for each scanner. We consider each scanner as a’domain’ and the image distribution specified for each domain as’style’. The goal is to train our network to be robust on scanner types by using various’style’ images. To expand the style variance, we transfer a style of the training image into arbitrary styles, by defining a module based on StarGAN. Our model with the proposed training scheme shows positive performance on MIDOG Preliminary Test-Set containing scanners never seen before. Copyright © 2021, The Authors. All rights reserved.

关键词： Scanning

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