TMOD-35. PREDICTION OF OVERALL SURVIVAL, AND MOLECULAR MARKERS IN GLIOMAS VIA ANALYSIS OF DIGITAL PATHOLOGY IMAGES USING DEEP LEARNING

BACKGROUND: Microscopic features of brain tumors, such as tumor cell morphology, type/degree of microvascular hyperplasia, mitotic activity, and extent of zonal/geographic necrosis, among many others, are measurable and reflect underlying molecular markers that are predictive of patient prognosis, s...

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Detaylı Bibliyografya
Yayımlandı:Neuro Oncol
Asıl Yazarlar: Rathore, Saima, Iftikhar, Muhammad, Nasrallah, MacLean, Gurcan, Metin, Rajpoot, Nasir, Mourelatos, Zissimos
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Oxford University Press 2019
Konular:
Tumor Models
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC6845606/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noz175.1134
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