Role of Machine Learning (ML)-Based Classification Using Conventional 18F-FDG PET Parameters in Predicting Postsurgical Features of Endometrial Cancer Aggressiveness.
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| Title: | Role of Machine Learning (ML)-Based Classification Using Conventional 18F-FDG PET Parameters in Predicting Postsurgical Features of Endometrial Cancer Aggressiveness. |
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| Authors: | Bezzi C; Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy.; Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Bergamini A; Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy.; Unit of Obstetrics and Gynaecology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Mathoux G; School of Medicine and Surgery, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, 20126 Milan, Italy., Ghezzo S; Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy.; Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Monaco L; School of Medicine and Surgery, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, 20126 Milan, Italy., Candotti G; Unit of Obstetrics and Gynaecology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Fallanca F; Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Gajate AMS; Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Rabaiotti E; Unit of Obstetrics and Gynaecology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Cioffi R; Unit of Obstetrics and Gynaecology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Bocciolone L; Unit of Obstetrics and Gynaecology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Gianolli L; Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Taccagni G; Pathology Unit, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Candiani M; Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy.; Unit of Obstetrics and Gynaecology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Mangili G; Unit of Obstetrics and Gynaecology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Mapelli P; Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy.; Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Picchio M; Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy.; Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy. |
| Source: | Cancers [Cancers (Basel)] 2023 Jan 03; Vol. 15 (1). Date of Electronic Publication: 2023 Jan 03. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101526829 Publication Model: Electronic Cited Medium: Print ISSN: 2072-6694 (Print) Linking ISSN: 20726694 NLM ISO Abbreviation: Cancers (Basel) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2072-6694 |
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| DOI: | 10.3390/cancers15010325 |
