Multimodality Deep Learning Radiomics Predicts Pathological Response After Neoadjuvant Chemoradiotherapy For Esophageal Squamous Cell Carcinoma

This study aimed to develop and validate a deep-learning radiomics model using CT, T2, and DWI images for predicting pathological complete response (pCR) in patients with esophageal squamous cell carcinoma (ESCC) undergoing neoadjuvant chemoradiotherapy (nCRT).

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