Abstract #5406

Radomics Model and Deep Learning Model Based on T1WI Image for Acute Lymphocytic Leukemia Identification

Ting Yi¹, Hui Tang², Yuanbin Chen², Qifang Cai¹, Huiting Zhang³, Weian Wei¹, and Ke Jin¹

¹Hunan Children's Hospital, Changsha, China, ²Fuzhou University, Fuzhou, China, ³MR Scientific Marketing, Siemens Healthineers, Guangzhou, China

Synopsis

This study investigated the feasibility of radomics model and deep learning model Based on T1WI image for acute lymphocytic leukemia identification. The results showed that both radomics model and deep learning model can effectively distinct ALL children and normal children. And radomic model is better.

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