MiroSCOPE: An AI-driven digital pathology platform for annotating functional tissue units.

ABSTRACT: Cancer tissue analysis in digital pathology is typically conducted across different spatial scales, ranging from high-resolution cell-level modeling to lower-resolution tile-based assessments. However, these perspectives often overlook the structural organization of functional tissue units (FTUs), the small, repeating structures which are crucial to tissue function and key factors during pathological assessment. The incorporation of FTU information is hindered by the need for detailed manual annotations, which are costly and time-consuming to obtain. While artificial intelligence (AI)-based solutions hold great promise to accelerate this process, there is currently no comprehensive workflow for building the large, annotated cohorts required. To remove these roadblocks and advance the devel

SUBMITTER: Fenner MR 

PROVIDER: S-EPMC12338586 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature