Work

A signature-based model for learning lung cancer stage from multiplex immunofluorescence image data with spatial summary functions

Year: 2025

Type: conference-paper

Source: International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

DOI: 10.1109/acdsa65407.2025.11166216

Authors: Christelle Agonkoui, Hua Cao, Sophie Dabo-Niang, Gaurav Dhar, Nicolas Jankovsky, Karin Sahmer

Institutions: Université de Lille, Centre Inria de l'Université de Lille, MODAL: MOdel for Data Analysis and Learning, Institut Supérieur de l'Électronique et du Numérique, JUNIA, SATT Nord (France), IMT Nord Europe, Laboratoire de Génie Civil et Géo-Environnement, Université d'Artois

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: closed

Funder: Agence Nationale de la Recherche

Award: Smart MEMS Instrumentation for Biophysical flow Cytometry with Statistical Learning

OpenAlex ID: W7084066232

FWCI:

Cites: 23

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