Calculating tumor proportional score of HNSCC patients with deep learning object detection

Po-Hang Tseng; Jin-Tang Lin; Xin-Yu Liao; Sheng-Lin Lee; Mei-Chun Lin; Yen-Lin Huang; Pei-Jen Lou; Chen-Yuan Dong

doi:10.1117/12.2615639

3 December 2021 Calculating tumor proportional score of HNSCC patients with deep learning object detection

Po-Hang Tseng, Jin-Tang Lin, Xin-Yu Liao, Sheng-Lin Lee, Mei-Chun Lin, Yen-Lin Huang, Pei-Jen Lou, Chen-Yuan Dong

Proceedings Volume 11921, Emerging Technologies for Cell and Tissue Characterization; 119210L (2021) https://doi.org/10.1117/12.2615639
Event: European Conferences on Biomedical Optics, 2021, Online Only

Abstract

This work illustrates how tumor proportional score is estimated using object detection method YOLO and compared with a pathologist's calculation. Results show deep learning can achieve good results and be used on clinical applications.

Citation Download Citation

Po-Hang Tseng, Jin-Tang Lin, Xin-Yu Liao, Sheng-Lin Lee, Mei-Chun Lin, Yen-Lin Huang, Pei-Jen Lou, and Chen-Yuan Dong "Calculating tumor proportional score of HNSCC patients with deep learning object detection", Proc. SPIE 11921, Emerging Technologies for Cell and Tissue Characterization, 119210L (3 December 2021); https://doi.org/10.1117/12.2615639

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