Published on in Vol 9 (2023)
This is a member publication of National University of Singapore
![Data-Efficient Computational Pathology Platform for Faster and Cheaper Breast Cancer Subtype Identifications: Development of a Deep Learning Model Data-Efficient Computational Pathology Platform for Faster and Cheaper Breast Cancer Subtype Identifications: Development of a Deep Learning Model](https://asset.jmir.pub/assets/e16a3dc0836e8ea9032f213edb00b7e5.png 480w,https://asset.jmir.pub/assets/e16a3dc0836e8ea9032f213edb00b7e5.png 960w,https://asset.jmir.pub/assets/e16a3dc0836e8ea9032f213edb00b7e5.png 1920w,https://asset.jmir.pub/assets/e16a3dc0836e8ea9032f213edb00b7e5.png 2500w)
1 Healthcare AI Team, Healthcare Platform Center, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea
2 Institute of Data Science, National University of Singapore, Singapore, Singapore
3 Department of Cancer AI & Digital Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea
4 Department of Pathology, National Cancer Center Hospital, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea
5 Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
*these authors contributed equally