Artificial intelligence in cerebral stroke images classification and segmentation: A comprehensive study
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17324-3.pdf
Reference85 articles.
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2. Calhoun V (2022) Data-driven approaches for identifying links between brain structure and function in health and disease. Dialogues Clin Neurosci 20:87–100. https://doi.org/10.31887/DCNS.2018.20.2/VCALHOUN
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4. Bontempi D, Benini S, Signoroni A et al (2020) CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI. Med Image Anal 62:101688. https://doi.org/10.1016/J.MEDIA.2020.101688
5. King M, Hernandez-Castillo CR, Poldrack RA et al (2019) (2019) Functional boundaries in the human cerebellum revealed by a multi-domain task battery. Nat Neurosci 228(22):1371–1378. https://doi.org/10.1038/s41593-019-0436-x
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