V-Net and U-Net for Ischemic Stroke Lesion Segmentation in a Small Dataset of Perfusion Data

Gustavo Retuci Pinheiro; Raphael Voltoline; Mariana Bento; Letícia Rittner

doi:10.1007/978-3-030-11723-8_30

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V-Net and U-Net for Ischemic Stroke Lesion Segmentation in a Small Dataset of Perfusion Data

Gustavo Retuci Pinheiro Raphael Voltoline Mariana Bento Letícia Rittner

Year: 2019 Lecture notes in computer science Pages: 301-309 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-11723-8_30

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Keywords:

Computer science Net (polyhedron) Segmentation Artificial intelligence Ischemic stroke Lesion Perfusion Stroke (engine) Cardiology Pattern recognition (psychology) Medicine Surgery Ischemia Mathematics Physics

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Acute Ischemic Stroke Management

Health Sciences → Medicine → Epidemiology

Brain Tumor Detection and Classification

Life Sciences → Neuroscience → Neurology

Medical Imaging and Analysis

Physical Sciences → Engineering → Biomedical Engineering

V-Net and U-Net for Ischemic Stroke Lesion Segmentation in a Small Dataset of Perfusion Data

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