Evidence map›Paper›PMID 41385141›Full record

ArticleChromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology2025

Exploring HSI imagery for overlapped chromosomes segmentation.

Najoua Zeffate, Mohammed El Amine Bechar, Jean-Marie Guyader, Nathalie Douet-Guilbert, Marwa El Bouz, Marie-Bérengère Troadec

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Article in Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Najoua ZeffateLabISEN, ISEN Ouest, 29200, Brest, France. najoua.zeffate@isen-ouest.yncrea.fr.
Mohammed El Amine BecharLabISEN, ISEN Ouest, 29200, Brest, France.
Jean-Marie GuyaderLabISEN, ISEN Ouest, 29200, Brest, France.
Nathalie Douet-GuilbertUniv Brest, Inserm, EFS, UMR 1078, GGB, Brest, 29200, Bretagne, France.
Marwa El BouzLabISEN, ISEN Ouest, 29200, Brest, France.
Marie-Bérengère TroadecUniv Brest, Inserm, EFS, UMR 1078, GGB, Brest, 29200, Bretagne, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The segmentation of overlapping chromosomes in metaphase images is a longstanding challenge in cytogenetics, where limited spectral contrast in conventional RGB imaging. In this study, we explore hyperspectral imaging (HSI) as a promising alternative modality to enhance segmentation accuracy by exploiting information from a narrow band of the spectrum. To evaluate the benefit of spectral data, we acquired and annotated a dedicated dataset of overlapping chromosomes, using a hyperspectral microscopy system. Multiple segmentation baseline models were trained and benchmarked on both RGB and HSI data. Experimental results show that HSI-based models consistently outperform RGB-based counterparts, achieving up to 92% Dice score. These findings underline the potential of HSI for improving cytogenetic image analysis and provide a new benchmark dataset for future research in spectral segmentation.

Indexed as

ChromosomesChromosomes, HumanCytogenetic AnalysisImage Processing, Computer-AssistedAlgorithmsHumansMetaphase3D convolutional neural networksChromosome segmentationDeep learningHyperspectral imageryOverlapping chromosomes

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.