Work

Feasibility of an Artificial Intelligence-Driven Classification of Tuberous Breast Deformity: A Siamese Network Approach With a Continuous Tuberosity Score

Year: 2025

Type: article

Source: Aesthetic Surgery Journal

DOI: 10.1093/asj/sjaf090

Authors: Stefano Vaccari, Alberto Paderno, Simone Furlan, Mattia Federico Cavallero, Alessandro Marco Lupacchini, Riccardo Di Giuli, Marco Klinger, Francesco Klinger, Valeriano Vinci

Institutions: University of Milan, Humanitas University, IRCCS Humanitas Research Hospital, Ospedale San Paolo

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: W4410520272

FWCI: 0.816

Cites: 20

Cited by: 2

Related to: 10