Výsledky vyhledávání - "Samuel, Selesnick"

Segmentation of Vestibular Schwannomas on Postoperative Gadolinium-Enhanced T1-Weighted and Noncontrast T2-Weighted Magnetic Resonance Imaging Using Deep Learning

Autor: Peter, Yao, Sagit Stern, Shavit, James, Shin, Samuel, Selesnick, C Douglas, Phillips, Sara B, Strauss

Publikováno v: Otology & Neurotology. 43:1227-1239

Surveillance of postoperative vestibular schwannomas currently relies on manual segmentation and measurement of the tumor by content experts, which is both labor intensive and time consuming. We aimed to develop and validate deep learning models for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::885cd4a52e49d6ba555c3e5a33dfa779
https://doi.org/10.1097/mao.0000000000003693

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