Artificial intelligence and radiomics in evaluation of kidney lesions: a comprehensive literature review

Radiomics and artificial intelligence (AI) may increase the differentiation of benign from malignant kidney lesions, differentiation of angiomyolipoma (AML) from renal cell carcinoma (RCC), differentiation of oncocytoma from RCC, differentiation of different subtypes of RCC, to predict Fuhrman grade...

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Detalles Bibliográficos
Autores principales: Ferro, Matteo, Crocetto, Felice, Barone, Biagio, del Giudice, Francesco, Maggi, Martina, Lucarelli, Giuseppe, Busetto, Gian Maria, Autorino, Riccardo, Marchioni, Michele, Cantiello, Francesco, Crocerossa, Fabio, Luzzago, Stefano, Piccinelli, Mattia, Mistretta, Francesco Alessandro, Tozzi, Marco, Schips, Luigi, Falagario, Ugo Giovanni, Veccia, Alessandro, Vartolomei, Mihai Dorin, Musi, Gennaro, de Cobelli, Ottavio, Montanari, Emanuele, Tătaru, Octavian Sabin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126666/
https://www.ncbi.nlm.nih.gov/pubmed/37113657
http://dx.doi.org/10.1177/17562872231164803

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126666/
https://www.ncbi.nlm.nih.gov/pubmed/37113657
http://dx.doi.org/10.1177/17562872231164803

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