Work

Leveraging Adversarial Learning for Pathological Fidelity in Virtual Staining

Year: 2025

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-032-05472-2_20

Authors: José Teixeira, Pascal Klöckner, Diana Montezuma, Melis Erdal Cesur, João Fraga, Hugo M. Horlings, Jaime S. Cardoso, Sara P. Oliveira

Institutions: Universidade do Porto, The Netherlands Cancer Institute, INESC TEC, IMP Diagnostics (Portugal)

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

Funder: Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Award: AI-based virtual immuno staining from H&E slides

OpenAlex ID: W4414478111

FWCI: 0.991

Cites: 17

Cited by: 1

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