APIS: a paired CT-MRI dataset for ischemic stroke segmentation - methods and challenges.

ABSTRACT: Stroke, the second leading cause of mortality globally, predominantly results from ischemic conditions. Immediate attention and diagnosis, related to the characterization of brain lesions, play a crucial role in patient prognosis. Standard stroke protocols include an initial evaluation from a non-contrast CT to discriminate between hemorrhage and ischemia. However, non-contrast CTs lack sensitivity in detecting subtle ischemic changes in this phase. Alternatively, diffusion-weighted MRI studies provide enhanced capabilities, yet are constrained by limited availability and higher costs. Hence, we idealize new approaches that integrate ADC stroke lesion findings into CT, to enhance the analysis and accelerate stroke patient management. This study details a public challenge where scientists a

SUBMITTER: Gomez S 

PROVIDER: S-EPMC11374904 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature