Weak lesion feature extraction by dual-branch separation and enhancement network for safe hemorrhagic transformation prediction
Author:
Publisher
Elsevier BV
Subject
Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Reference35 articles.
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3. Bang, O.Y., Buck, B.H., Saver, J.L., Alger, J.R., Yoon, S.R., Starkman, S., Ovbiagele, B., Kim, D., Ali, L.K., Sanossian, N., Jahan, R., Duckwiler, G.R., Viñuela, F., Salamon, N., Villablanca, J.P., Liebeskind, D.S., 2007. Prediction of hemorrhagic transformation after recanalization therapy using T2*-permeability magnetic resonance imaging. Annals of Neurology 62, 170-176. 10.1002/ana.21174.
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5. Bouts, M.J., Tiebosch, I.A., Rudrapatna, U.S., van der Toorn, A., Wu, O., Dijkhuizen, R.M., 2017. Prediction of hemorrhagic transformation after experimental ischemic stroke using MRI-based algorithms. Journal of Cerebral Blood Flow & Metabolism 37, 3065-3076. 10.1177/0271678X16683692. publisher: SAGE Publications Ltd STM.
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