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[Posters] AACR 2025 – Correlation analysis between AI-based H-score and clinical data in MET IHC stained WSIs
May 7, 2025
Hyeon Seok Yang1, Yunseob Hwang1, DoKyung Kim1, Yoon-La Choi2, Kyungsoo Jung2, Minjung Sung2, Young Kee Shin3, Ji-Hye Nam4, Tae-Yeong Kwak1, Sun Woo Kim1, Hyeyoon Chang1
1 Deep Bio Inc., 2 Samsung Medical Center, 3 Seoul National University, 4 LOGONE Bio-Convergence Research Foundation
Disclosure: The authors of this abstract have indicated the following conflicts of interest that relate to the content of this abstract: Hyeon Seok Yang, Yunseob Hwang, 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 confirmed the correlation between AI-estimated H-scores through cell analysis based on deep learning and image analysis and pathologist-estimated H-scores for MET IHC stained WSI, and compared the distribution of AI-estimated H-scores by tumor subtype.
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