Guro Karlsholm, Linn Beate Strand, Beate André, Kjersti Grønning
Learning evidence-based practice by writing the bachelor's thesis - A prospective cohort study in undergraduate nursing education
Nurse education today
paper provides comprehensive review deep learning models ischemic stroke lesion segmentation medical images ischemic stroke severe neurological disease leading cause death disability worldwide accurate segmentation stroke lesions medical images mri ct scans crucial diagnosis treatment planning prognosis paper first introduces common imaging modalities used stroke diagnosis discussing capabilities imaging lesions different disease stages acute chronic stage reviews three major public benchmark datasets evaluating stroke segmentation algorithms atlas isles aisd highlighting key characteristics paper proceeds provide overview foundational deep learning architectures medical image segmentation including cnnbased transformerbased models summarizes recent innovations adapting architectures task stroke lesion segmentation across three datasets analyzing motivations modifications results survey loss functions data augmentations employed task also included paper discusses various aspects related stroke segmentation tasks including prior knowledge small lesions multimodal fusion concludes outlining promising future research directions overall comprehensive review covers critical technical developments field support continued progress automated stroke lesion segmentation