Work

Corrections to “On the In Vivo Recognition of Kidney Stones Using Machine Learning”

Year: 2025

Type: erratum

Abstract: Presents corrections to the paper, (Corrections to “On the In Vivo Recognition of Kidney Stones Using Machine Learning”).

Source: IEEE Access

DOI: 10.1109/access.2025.3554065

Authors: Francisco Lopez-Tiro, Vincent Estrade, Jacques Hubert, Daniel Flores-Araiza, Miguel Gonzalez-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul

Institutions: Tecnológico de Monterrey, Centre Hospitalier Universitaire de Bordeaux, Hôpital Pellegrin, Centre Hospitalier Régional et Universitaire de Nancy, Centre National de la Recherche Scientifique, CRAN

Language: English

Topic: Kidney Stones and Urolithiasis Treatments

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,075

OpenAlex ID: W4409049671

Cites: 2

Cited by:

Related to: 10