Ischemic Stroke Lesion Segmentation Based on Thermal Analysis Model Using U-Net Fully Convolutional Neural Networks on GPUs

Abdelmajid Bousselham; Omar Bouattane; Mohamed Youssfi; Abdelhadi Raihani

doi:10.1007/978-3-030-36677-3_12

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Ischemic Stroke Lesion Segmentation Based on Thermal Analysis Model Using U-Net Fully Convolutional Neural Networks on GPUs

Abdelmajid Bousselham Omar Bouattane Mohamed Youssfi Abdelhadi Raihani

Year: 2020 Advances in intelligent systems and computing Pages: 99-106 Publisher: Springer Nature

DOI: 10.1007/978-3-030-36677-3_12

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Keywords:

Convolutional neural network Computer science Segmentation Artificial intelligence Stroke (engine) Artificial neural network Pattern recognition (psychology) Engineering

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Infrared Thermography in Medicine

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Brain Tumor Detection and Classification

Life Sciences → Neuroscience → Neurology

Advanced X-ray and CT Imaging

Physical Sciences → Engineering → Biomedical Engineering

Ischemic Stroke Lesion Segmentation Based on Thermal Analysis Model Using U-Net Fully Convolutional Neural Networks on GPUs

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