Resources / Deep Learning-Based, Fully Automated Analysis of Whole Slide Images Can Detect Invasive Breast Carcinomaand Count Ki-67 Easily and Precisely
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Deep Learning-Based, Fully Automated Analysis of Whole Slide Images Can Detect Invasive Breast Carcinoma and Count Ki-67 Easily and Precisely
Originally presented at USCAP 2023
Description
- The basic treatment of hormone-receptor(HR) positive breast carcinoma(BC) is antihormonal therapy.
- Recently, cyclin-dependent kinases 4/6 inhibitor called abemaciclib, has been approved for high risk patients after surgery, together with Ki-67 IHC MIB-1 pharmDx(Dako Omnis) for the patient selection.
- However, there remains concerns about reproducibility, and a development of automated image analysis is desired.
Authors and institutions
Akira I. Hida1, Jeppe Thagaard2, Takahiro Watanabe3, Thomas Ramsing2, Agnete Overgaard2, Yumi Oshiro4 and Takuya Moriya5
- Matsuyama Shimin Hospital
- Visiopharm A/S
- Hyogo College of Medicine
- Matsuyama Red Cross Hospital
- Kawasaki Medical School
