Ischemic Stroke Lesion Segmentation in CT Perfusion Images Using U-Net with Group Convolutions

Chintha Sri Pothu Raju; Anish Monsley Kirupakaran; Bala Chakravarthy Neelapu; Rabul Hussain Laskar

doi:10.1007/978-3-031-31407-0_21

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Ischemic Stroke Lesion Segmentation in CT Perfusion Images Using U-Net with Group Convolutions

Chintha Sri Pothu Raju Anish Monsley Kirupakaran Bala Chakravarthy Neelapu Rabul Hussain Laskar

Year: 2023 Communications in computer and information science Pages: 276-288 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-31407-0_21

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Keywords:

Penumbra Sørensen–Dice coefficient Segmentation Computer science Artificial intelligence Cerebral blood flow Perfusion Perfusion scanning Deep learning Stroke (engine) Pattern recognition (psychology) Medicine Image segmentation Radiology Cardiology Ischemia Physics

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Acute Ischemic Stroke Management

Health Sciences → Medicine → Epidemiology

Advanced X-ray and CT Imaging

Physical Sciences → Engineering → Biomedical Engineering

Medical Imaging and Analysis

Physical Sciences → Engineering → Biomedical Engineering

Ischemic Stroke Lesion Segmentation in CT Perfusion Images Using U-Net with Group Convolutions

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