Brain Stroke Segmentation Using Deep Learning Models: A Comparative Study

arXiv:2403.17177v1 Announce Type: cross
Abstract: Stroke segmentation plays a crucial role in the diagnosis and treatment of stroke patients by providing spatial information about affected brain regions and the extent of damage. Segmenting stroke lesions accurately is a challenging task, given that conventional manual techniques are time consuming and prone to errors. Recently, advanced deep models have been introduced for general medical image segmentation, demonstrating promising results that surpass many state of the art networks when evaluated on specific datasets. …

abstract arxiv brain cs.cv cs.lg deep learning diagnosis eess.iv information patients role segmentation spatial stroke study treatment type