AI-ready rectal cancer MR imaging: a workflow for tumor detection and segmentation.

ABSTRACT:

Background

Magnetic Resonance (MR) imaging is the preferred modality for staging in rectal cancer; however, despite its exceptional soft tissue contrast, segmenting rectal tumors on MR images remains challenging due to the overlapping appearance of tumor and normal tissues, variability in imaging parameters, and the inherent subjectivity of reader interpretation. For studies requiring accurate segmentation, reviews by multiple independent radiologists remain the gold standard, albeit at a substantial cost. The emergence of Artificial Intelligence (AI) offers promising solutions to semi- or fully-automatic segmentation, but the lack of publicly available, high-quality MR imaging datasets for rectal cancer remains a significant barrier to developing robust AI models.

Objective

SUBMITTER: Selby HM 

PROVIDER: S-EPMC11909848 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature