Exploring the AE model in predicting the prognosis of chemo-radiotherapy for cervical cancer based on clinical and radiomics’ features
Miao Liu1, Qi Wang1, Gaofeng Shi1, Li Yang1, and Qinglei Shi2
1The Fourth Hospital of Hebei Medical University, Shi Jiazhuang, China, 2MR Scientific Marketing , Siemens Healthineers Ltd., Beijing, China
In this study, through optimizing data enhancement, data normalization, dimension reduction and feature screening schemes, an auto encoder (AE) based on clinical and radiomics features of ADC map was established and demonstrated high value in predicting the prognosis of locally advanced cervical cancer LACC in concurrent chemo-radiotherapy.
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