Cancer Prediction With Machine Learning of Thrombi From Thrombectomy in Stroke: Multicenter Development and Validation

We aimed to develop and validate machine learning models to diagnose patients with ischemic stroke with cancer through the analysis of histopathologic images of thrombi obtained during endovascular thrombectomy. This was a retrospective study using a prospective multicenter registry which enrolled c...

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Veröffentlicht in:	Stroke (1970) 2023-08, Vol.54 (8), p.2105-2113
Hauptverfasser:	Heo, JoonNyung, Lee, Hyungwoo, Seog, Young, Kim, Sungeun, Baek, Jang-Hyun, Park, Hyungjong, Seo, Kwon-Duk, Kim, Gyu Sik, Cho, Han-Jin, Baik, Minyoul, Yoo, Joonsang, Kim, Jinkwon, Lee, Jun, Chang, Yoonkyung, Song, Tae-Jin, Seo, Jung Hwa, Ahn, Seong Hwan, Lee, Heow Won, Kwon, Il, Park, Eunjeong, Kim, Byung Moon, Kim, Dong Joon, Kim, Young Dae, Nam, Hyo Suk
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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