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Clinical relevance of the characterisation and quantification of CD8+ T-cell infiltration in high-grade serous ovarian carcinoma using machine learning-based image analysis of dual immunostaining

Crossref DOI link: https://doi.org/10.1016/j.patol.2026.100872

Published Print: 2026-07

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Machuca-Aguado, Jesús

Alfonso-Rosa, Carmen

Muñoz-Álvarez, Alejandro

Rendón-García, Rosa

Conde-Martín, Antonio Félix

Andrade-Ruiz, Henry

Idoate Gastearena, Miguel A. https://orcid.org/0000-0002-1596-1192
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Text and Data Mining valid from 2026-07-01

Text and Data Mining valid from 2026-07-01
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Article Title: Clinical relevance of the characterisation and quantification of CD8+ T-cell infiltration in high-grade serous ovarian carcinoma using machine learning-based image analysis of dual immunostaining

Journal Title: Revista Española de Patología

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.patol.2026.100872

Content Type: article

Copyright: © 2026 Sociedad Española de Anatomía Patológica. Published by Elsevier España, S.L.U. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

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