Ki‐67 evaluation using deep‐learning model‐assisted digital image analysis in breast cancer
The performances of DL-TC and DL-ND were excellent. DL-DIA demonstrated a high degree of concordance with manual counting of Ki-67 and the results of this approach have prognostic potential.
Authors
- Ryota Miyata (ORCID: https://orcid.org/0000-0003-0499-5001)
- Mikiko Unesoko
- Norie Abe
- Norihiro Nakada
- Yuma Tsuruta
- Hisamitsu Zaha (ORCID: https://orcid.org/0000-0001-8492-3715)
- Hirofumi Matsumoto (ORCID: https://orcid.org/0000-0003-4216-8939)
- Ayako Koki
Institutions
- University of the Ryukyus (JP)
Publication Details
- Journal
- Histopathology
- Published
- 2024-10-31
- DOI
- https://doi.org/10.1111/his.15356
- Citations
- 7
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 2.43