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Updated: Feb 15, 2026

Optimized Workflow for Iterative Bleaching Extends Multiplexity Imaging of Highly Autofluorescent Clinical Samples
Published on: July 11, 2025
Automatic detection of follicular regions in H&E images using iterative shape index
K Belkacem-Boussaid1, S Samsi, G Lozanski
1Department of Biomedical Informatics, Ohio State University, Columbus, OH 43210, USA. Kamel.Boussaid@osumc.edu
Abstract:
Follicular Lymphoma (FL) accounts for 20-25% of non-Hodgkin lymphomas in the United States. The first step in grading FL is identifying follicles. Our paper discusses a novel technique to segment follicular regions in H&E stained images. The method is based on three successive steps: (1) region-based segmentation, (2) iterative shape index (concavity index) calculation, (3) and recursive watershed. A novel aspect of this method is the use of iterative Concavity Index (CI) to control the follicular splitting process in recursive watershed. CI takes into consideration the convex hull of the object and the closest area surrounding it. The mean Zijbendos similarity index (ZSI) final segmentation score on fifteen cases was 78.33%, with a standard deviation of 2.83.
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