Publications
[Posters] AACR 2025 – Deep Learning Model for Cancer Diagnosis in Frozen Section Sentinel Lymph Nodes with Limited
May 7, 2025
Joonho Lee1, Joonyoung Cho1, DoKyung Kim1, Yoon-La Choi2, Kyungsoo Jung2, Tae-Yeong Kwak1, Sun Woo Kim1, Hyeyoon Chang1
1 Deep Bio Inc., 2 Samsung Medical Center
Disclosure: The authors of this abstract have indicated the following conflicts of interest that relate to the content of this abstract: Joonho Lee, Joonyoung Cho, DoKyung Kim,
Tae-Yeong Kwak, and Hyeyoon Chang are employees of Deep Bio Inc., and Sun Woo Kim is CEO of Deep Bio Inc.
This study aims to develop a deep-learning model for cancer diagnosis in frozen section sentinel lymph nodes with limited annotations. This study proposes a method to reduce stain and scanner variations using a multi-institutional dataset with multiple instance learning (MIL) approaches combined with a classifier-isolate training method. The proposed method outperforms the fine-tuned strategy.
Latest News & Resources
