Work

An automatic AI model for tumoral burden detection and segmentation on whole-body MRI: The DIPCAN study.

Year: 2025

Type: article

Source: Journal of Clinical Oncology

DOI: 10.1200/jco.2025.43.16_suppl.e13717

Authors: Carmen Prieto-de-la-Lastra, Ana Jiménez Pastor, Anna Nogué Infante, Javier Blázquez Sánchez, Raquel Sáiz-Martínez, Esther Martin-Illana, Angel Alberich-Bayarri, Enrique Grande

Institutions: The University of Texas MD Anderson Cancer Center, MD Anderson Cancer Center Madrid

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4410813383

FWCI:

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