Accuracy of breast density assessment using artificial intelligence by convolutional neural network for carriers of UGT1A1 polymorphisms with Gilbert's Syndrome - a pilot study.
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| Title: | Accuracy of breast density assessment using artificial intelligence by convolutional neural network for carriers of UGT1A1 polymorphisms with Gilbert's Syndrome - a pilot study. |
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| Authors: | Maesaka JY; Discipline of Gynecology, Department of Obstetrics and Gynecology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil. Electronic address: jonathan.maesaka@hc.fm.usp.br., Mota BS; Discipline of Gynecology, Department of Obstetrics and Gynecology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil., Shimizu C; Department of Radiology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil., Rocha BA; Department of Radiology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil., Vianna LGR; Instituto de Matemática e Estatística, Universidade de São Paulo (USP), São Paulo, SP, Brazil., Cerri GG; Department of Radiology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil., Filassi JR; Discipline of Gynecology, Department of Obstetrics and Gynecology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil., Maciel GAR; Discipline of Gynecology, Department of Obstetrics and Gynecology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil., Soares-Jr JM; Discipline of Gynecology, Department of Obstetrics and Gynecology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil., Ono SK; Department of Gastroenterology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil., Baracat EC; Discipline of Gynecology, Department of Obstetrics and Gynecology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil. |
| Source: | Clinics (Sao Paulo, Brazil) [Clinics (Sao Paulo)] 2026 Jul 09; Vol. 81, pp. 101038. Date of Electronic Publication: 2026 Jul 09. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: United States NLM ID: 101244734 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1980-5322 (Electronic) Linking ISSN: 18075932 NLM ISO Abbreviation: Clinics (Sao Paulo) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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