Revealing the Effects of Normalization in Breast Cancer Mitotic Cells Detection
Author:
Affiliation:
1. Dokuz Eylul University,The Graduate School of Natural and Applied Sciences,Izmir,Turkey
2. Dokuz Eylul University,Computer Engineering,Izmir,Turkey
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10550192/10550449/10550854.pdf?arnumber=10550854
Reference17 articles.
1. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries
2. Weakly supervised mitosis detection in breast histopathology images using concentric loss
3. Artificial intelligence-based mitosis detection in breast cancer histopathology images using faster r-cnn and deep cnns;Mahmood;Sensors,2020
4. MaskMitosis: a deep learning framework for fully supervised, weakly supervised, and unsupervised mitosis detection in histopathology images
5. Mitosis Counting in Breast Cancer: Object-Level Interobserver Agreement and Comparison to an Automatic Method
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