Work

Toward a Multimodal Deep Learning Approach for Histological Subtype Classification in NSCLC

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI: 10.1109/bibm62325.2024.10822421

Authors: Fatih Aksu, Fabrizia Gelardi, Arturo Chiti, Paolo Soda

Institutions: Humanitas University, Vita-Salute San Raffaele University, Università Campus Bio-Medico

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

OpenAlex ID: W4406260704

FWCI: 1.472

Cites: 25

Cited by: 5

Related to: 10