Digital Pathology and Bioinformatics Analysis of PIT1 Expression in Pituitary Macroadenomas
Medicinski glasnik
Jazika rada
E-mail
scepan.sinanovic@gmail.com
Ustanova
High Medical College of Professional Studies “Milutin Milankovic”, Belgrade, Serbia.
Reference
Bera K, Schalper KA, Rimm DL, Velcheti V, Madabhushi A. Artificial intelligence in digital pathology—new tools for diagnosis and precision oncology. Nat Rev Clin Oncol. 2019;16(12):703-715. doi:10.1038/s41571-019-0253-1.
Lu J, et al. Genetic Landscape of Pituitary Adenomas. Front Endocrinol (Lausanne). 2019;10:681. doi:10.3389/fendo.2019.00681.
Campanella G, et al. Clinical-grade computational pathology using weakly supervised deep learning on whole slide images. Nat Med. 2019;25(8):1301-1309. doi:10.1038/ s41591-019-0508-1.
Sažetak
Digital Pathology and Bioinformatics Analysis of PIT1 Expression in Pituitary Macroadenomas
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| 02 - 17-27 - Medicinski glasnik 97_0.pdf (1.19 MB) | 1.19 MB |