Automatic treatment outcome prediction with DeepInteg based on multimodal radiological images in rectal cancer.

ABSTRACT: Neoadjuvant systemic treatment before surgery is a prevalent regimen in the patients with advanced-stage or high-risk tumor, which has shaped the treatment strategies and cancer survival in the past decades. However, some patients present with poor response to the neoadjuvant treatment. Therefore, it is of great significance to develop tools to help distinguish the patients that could achieve pathological complete response before surgery to avoid inappropriate treatment. Here, this study demonstrated a multi-task deep learning tool called DeepInteg. In the DeepInteg framework, the segmentation module was constructed based on the CE-Net with a context extractor to achieve end-to-end delineation of region of interest (ROI) from radiological images, then the features of segmented Magnetic Res

SUBMITTER: Hu Y 

PROVIDER: S-EPMC9918765 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature