Abstract
This chapter highlights deep learning applications in uveal melanoma, the most common primary intraocular malignancy in adults. Future directions of machine learning applications in ocular oncology are discussed as well.
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References
Singh AD, Turell ME, Topham AK. Uveal melanoma: trends in incidence, treatment, and survival. Ophthalmology. 2011;118(9):1881–5.
Aronow ME, Topham AK, Singh AD. Uveal melanoma: 5-year update on incidence, treatment, and survival (SEER 1973-2013). Ocul Oncol Pathol. 2018;4(3):145–51.
Sun M, Zhou W, Qi X, et al. Prediction of BAP1 expression in uveal melanoma using densely-connected deep classification networks. Cancers (Basel). 2019;11(10).
Murali R, Wiesner T, Scolyer RA. Tumours associated with BAP1 mutations. Pathology. 2013;45(2):116–26.
Stalhammar G, See TRO, Phillips SS, Grossniklaus HE. Density of PAS positive patterns in uveal melanoma: correlation with vasculogenic mimicry, gene expression class, BAP-1 expression, macrophage infiltration, and risk for metastasis. Mol Vis. 2019;25:502–16.
Griewank KG, van de Nes J, Schilling B, et al. Genetic and clinico-pathologic analysis of metastatic uveal melanoma. Mod Pathol. 2014;27(2):175–83.
Harbour JW, Onken MD, Roberson ED, et al. Frequent mutation of BAP1 in metastasizing uveal melanomas. Science. 2010;330(6009):1410–3.
Koopmans AE, Verdijk RM, Brouwer RW, et al. Clinical significance of immunohistochemistry for detection of BAP1 mutations in uveal melanoma. Mod Pathol. 2014;27(10):1321–30.
Liu TYA, Zhu H, Chen H, et al. Gene expression profile prediction in uveal melanoma using deep learning: a pilot study for development of an alternative survival prediction tool. Ophthalmol Retina. 2020;
Onken MD, Worley LA, Ehlers JP, Harbour JW. Gene expression profiling in uveal melanoma reveals two molecular classes and predicts metastatic death. Cancer Res. 2004;64(20):7205–9.
Onken MD, Worley LA, Char DH, et al. Collaborative Ocular Oncology Group report number 1: prospective validation of a multi-gene prognostic assay in uveal melanoma. Ophthalmology. 2012;119(8):1596–603.
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Liu, T.Y.A., Correa, Z.M. (2021). Deep Learning Applications in Ocular Oncology. In: Grzybowski, A. (eds) Artificial Intelligence in Ophthalmology. Springer, Cham. https://doi.org/10.1007/978-3-030-78601-4_20
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DOI: https://doi.org/10.1007/978-3-030-78601-4_20
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