Discrimination between non-functioning pituitary adenomas and hypophysitis using machine learning methods based on magnetic resonance imaging‑derived texture features.
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| Title: | Discrimination between non-functioning pituitary adenomas and hypophysitis using machine learning methods based on magnetic resonance imaging‑derived texture features. |
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| Authors: | Sahin S; Division of Endocrinology and Metabolism, Department of Internal Medicine, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey., Yildiz G; Department of Radiology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey., Oguz SH; Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, Hacettepe University, Ankara, Turkey., Civan O; Department of Radiology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey., Cicek E; Department of Internal Medicine, Cerrahpasa Faculty of Medicine, Istanbul University- Cerrahpasa, Istanbul, Turkey., Durcan E; Division of Endocrinology and Metabolism, Department of Internal Medicine, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey., Comunoglu N; Department of Pathology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey., Ozkaya HM; Division of Endocrinology and Metabolism, Department of Internal Medicine, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey., Oz AB; Department of Pathology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey., Soylemezoglu F; Department of Pathology, Faculty of Medicine, Hacettepe University, Ankara, Turkey., Oguz KK; Department of Radiology, Faculty of Medicine, Hacettepe University, Ankara, Turkey., Dagdelen S; Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, Hacettepe University, Ankara, Turkey., Erbas T; Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, Hacettepe University, Ankara, Turkey., Kizilkilic O; Department of Radiology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey., Kadioglu P; Division of Endocrinology and Metabolism, Department of Internal Medicine, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey. kadioglup@yahoo.com.; Cerrahpasa Medical Faculty, Department of Internal Medicine, Division of Endocrinology and Metabolism, Istanbul University-Cerrahpasa, Kocamustafapasa Street No: 53, 34098, Fatih, Istanbul, Turkey. kadioglup@yahoo.com. |
| Source: | Pituitary [Pituitary] 2022 Jun; Vol. 25 (3), pp. 474-479. Date of Electronic Publication: 2022 Mar 25. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Kluwer Academic Publishers Country of Publication: United States NLM ID: 9814578 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-7403 (Electronic) Linking ISSN: 1386341X NLM ISO Abbreviation: Pituitary Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1573-7403 |
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| DOI: | 10.1007/s11102-022-01213-3 |
