Predicting rectal cancer tumor budding grading based on MRI and CT with multimodal deep transfer learning: A dual-center study

Objective: To investigate the effectiveness of a multimodal deep learning model in predicting tumor budding (TB) grading in rectal cancer (RC) patients. Materials and methods: A retrospective analysis was conducted on 355 patients with rectal adenocarcinoma from two different hospitals. Among them,...

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Bibliographic Details
Main Authors: Ziyan Liu, Jianye Jia, Fan Bai, Yuxin Ding, Lei Han, Genji Bai
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S240584402404800X