U-ISLES: Ischemic Stroke Lesion Segmentation Using U-Net

Lea Katrina S. Cornelio; Mary Abigail V. del Castillo; Prospero C. Naval

doi:10.1007/978-3-030-01057-7_26

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U-ISLES: Ischemic Stroke Lesion Segmentation Using U-Net

Lea Katrina S. Cornelio Mary Abigail V. del Castillo Prospero C. Naval

Year: 2018 Advances in intelligent systems and computing Pages: 326-336 Publisher: Springer Nature

DOI: 10.1007/978-3-030-01057-7_26

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Keywords:

Artificial intelligence Segmentation Computer science Normalization (sociology) Preprocessor Pattern recognition (psychology) Market segmentation Ischemic stroke Contrast (vision) Image segmentation Computer vision Medicine

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Brain Tumor Detection and Classification

Life Sciences → Neuroscience → Neurology

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Medical Imaging and Analysis

Physical Sciences → Engineering → Biomedical Engineering

U-ISLES: Ischemic Stroke Lesion Segmentation Using U-Net

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