Assessing Tumour Budding in Lung Squamous Cell Carcinoma: A Comparative Analysis of Digital Whole-Slide Imaging and Light Microscopy

These findings support the feasibility and reproducibility of TB assessment using WSI and highlight its potential for standardizing LUSC TB evaluation in digital pathology workflows. WSI also demonstrated practical advantages, including easier field selection and annotation.

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Publication Details

Journal
Pathobiology
Published
2025-11-24
DOI
https://doi.org/10.1159/000549728
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Assessing Tumour Budding in Lung Squamous Cell Carcinoma: A Comparative Analysis of Digital Whole-Slide Imaging and Light Microscopy

Mark Keyter, Solange Peters, Sabina Berezowska, Stefano Lucà et al.
Pathobiology
AI in cancer detection
article

Assessing Tumour Budding in Lung Squamous Cell Carcinoma: A Comparative Analysis of Digital Whole-Slide Imaging and Light Microscopy

Mark Keyter, Solange Peters, Sabina Berezowska, Stefano Lucà, Thorsten Krueger, Marie Mailard
article en

Abstract

These findings support the feasibility and reproducibility of TB assessment using WSI and highlight its potential for standardizing LUSC TB evaluation in digital pathology workflows. WSI also demonstrated practical advantages, including easier field selection and annotation.

Pathobiology
University of Campania "Luigi Vanvitelli" (IT), University of Lausanne (CH)
Openalex Percentile: Top 81%
AI in cancer detection
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