Work

13P Unlocking the potential of deep learning-based detection and quantification of tumor infiltrating lymphocytes in gastric cancer

Year: 2025

Type: article

Source: ESMO Real World Data and Digital Oncology

DOI: 10.1016/j.esmorw.2025.100212

Authors: Y. Weeda, D. Wessels, E. Bekkers, O. de Boer, L. Kodach, S. Meijer

Institutions: Amsterdam University Medical Centers, Amsterdam UMC Location Vrije Universiteit Amsterdam, University of Amsterdam, The Netherlands Cancer Institute

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,170

OpenAlex ID: W4416780883

FWCI:

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