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Taxonomy: TH- Response Assessment: Radiomics/texture/feature-based response assessment
|PO-GeP-I-87||Digital Whole Slides-Based Deep Learning for the Prediction of Treatment Outcome in Head and Neck Squamous Cell Carcinoma|
H Yu1, D Jing2, W Lu1, W Lu1, J Qiu1, L Shi1*, (1) Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, CN, (2) Xiangya Hospital, Central South University, Changsha, CN
|PO-GeP-M-13||A Deep Transfer Learning-Based Radiomics Model for Prediction of Local Recurrence in Laryngeal Cancer|
Y Jia12*, X Qi2, J Du2, R Chin2, E McKenzie2, K Sheng2, (1) Shaanxi Key Laboratory of Network Data Intelligent Processing; UCLA School of Medicine, Xi'an, Shaanxi, CN, (2) UCLA School of Medicine, Los Angeles, CA