Preoperative evaluation of tumour consistency in pituitary macroadenomas: a machine learning-based histogram analysis on conventional T2-weighted MRI.
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| Title: | Preoperative evaluation of tumour consistency in pituitary macroadenomas: a machine learning-based histogram analysis on conventional T2-weighted MRI. |
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| Authors: | Zeynalova A; Department of Radiology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey., Kocak B; Department of Radiology, Istanbul Training and Research Hospital, Istanbul, Turkey. drburakkocak@gmail.com., Durmaz ES; Department of Radiology, Buyukcekmece Mimar Sinan State Hospital, Istanbul, Turkey., Comunoglu N; Department of Pathology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey., Ozcan K; Department of Pathology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey., Ozcan G; Department of Pathology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey., Turk O; Department of Neurosurgery, Istanbul Training and Research Hospital, Istanbul, Turkey., Tanriover N; Department of Neurosurgery, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey., Kocer N; Department of Radiology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey., Kizilkilic O; Department of Radiology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey., Islak C; Department of Radiology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey. |
| Source: | Neuroradiology [Neuroradiology] 2019 Jul; Vol. 61 (7), pp. 767-774. Date of Electronic Publication: 2019 Apr 22. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 1302751 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1920 (Electronic) Linking ISSN: 00283940 NLM ISO Abbreviation: Neuroradiology Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1432-1920 |
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| DOI: | 10.1007/s00234-019-02211-2 |
