Work

End-to-end prediction of clinical outcomes in head and neck squamous cell carcinoma with foundation model-based multiple instance learning

Year: 2025

Type: article

Abstract: Rabasco Meneghetti, Asier; Ligero Hernández, Marta; Kuehn, Jens-Peter; Löck, Steffen; Itzel Carrero, Zunamys; Perez-Lopez, Raquel; Bressem, Keno; Brinker, Titus K; Pearson, Alexander T; Truhn, Daniel; Nebelung, Sven; Kather, Jakob Nikolas

Source: RWTH Publications (RWTH Aachen)

DOI: 10.18154/rwth-conv-255140

Authors: Rabasco Meneghetti, Asier, Ligero Hernández, Marta, Kuehn, Jens-Peter, Löck, Steffen, Itzel Carrero, Zunamys, Perez-Lopez, Raquel, Bressem, Keno, Brinker, Titus K., Pearson, Alexander T., Truhn, Daniel, Nebelung, Sven, Kather, Jakob Nikolas

Institution: RWTH Aachen University

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: green

OpenAlex ID: W7161257777

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