MRI radiomics-based machine learning for classification of deep-seated lipoma and atypical lipomatous tumor of the extremities.
Gitto S, Interlenghi M, Cuocolo R, Salvatore C, Giannetta V, Badalyan J, Gallazzi E, Spinelli MS, Gallazzi M, Serpi F, Messina C, Albano D, Annovazzi A, Anelli V, Baldi J, Aliprandi A, Armiraglio E, Parafioriti A, Daolio PA, Luzzati A, Biagini R, Castiglioni I, Sconfienza LM.
Gitto S, et al.
Radiol Med. 2023 Aug;128(8):989-998. doi: 10.1007/s11547-023-01657-y. Epub 2023 Jun 19.
Radiol Med. 2023.
PMID: 37335422
Free PMC article.
PURPOSE: To determine diagnostic performance of MRI radiomics-based machine learning for classification of deep-seated lipoma and atypical lipomatous tumor (ALT) of the extremities. MATERIAL AND METHODS: This retrospective study was performed at three tertiary sarco …
PURPOSE: To determine diagnostic performance of MRI radiomics-based machine learning for classification of deep-seated lipoma and atypical …