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A Comprehensive Survey on Annotation to Clinical Application: Artificial Intelligence for Intracranial Hemorrhage Detection and Segmentation in Neuroimaging

2025-07-30

Abstract excerpt

While artificial intelligence (AI) makes remarkable strides in automating intracranial hemorrhage (ICH) detection, current surveys often focus on narrow aspects of the problem, leaving critical areas such as data labeling, model interpretability, scan-level image fusion, and AI’s comparative performance with radiologists inadequately explored. Additionally, challenges like dataset inconsistency, limited generaliza...

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Literature Corpus work
5bfa4b89-6109-5831-bd4f-472617cfab46
DOI
10.20944/preprints202507.2393.v1
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A Comprehensive Survey on Annotation to Clinical Application: Artificial Intelligence for Intracranial Hemorrhage Detection and Segmentation in NeuroimagingDOI 10.20944/preprints202507.2393.v1
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