Artificial intelligence-based tissue segmentation and cell identification in multiplex-stained histological endometriosis sections.

ABSTRACT:

Study question

How can we best achieve tissue segmentation and cell counting of multichannel-stained endometriosis sections to understand tissue composition?

Summary answer

A combination of a machine learning-based tissue analysis software for tissue segmentation and a deep learning-based algorithm for segmentation-independent cell identification shows strong performance on the automated histological analysis of endometriosis sections.

What is known already

Endometriosis is characterized by the complex interplay of various cell types and exhibits great variation between patients and endometriosis subtypes.

Study design, size, duration

Endometriosis tissue samples of eight patients of different subtypes were obtained during surgery.

Participants/materials, se

SUBMITTER: Korman SE 

PROVIDER: S-EPMC11879173 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature