Automatic intracranial abnormality detection and localization in head CT scans by learning from free-text reports

Deep learning has yielded promising results for medical image diagnosis but relies heavily on manual image annotations, which are expensive to acquire. We present Cross-DL, a cross-modality learning framework for intracranial abnormality detection and localization in head computed tomography (CT) sc...

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Detalles Bibliográficos
Autores principales: Liu, Aohan, Guo, Yuchen, Lyu, Jinhao, Xie, Jing, Xu, Feng, Lou, Xin, Yong, Jun-hai, Dai, Qionghai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518589/
https://www.ncbi.nlm.nih.gov/pubmed/37652014
http://dx.doi.org/10.1016/j.xcrm.2023.101164

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518589/
https://www.ncbi.nlm.nih.gov/pubmed/37652014
http://dx.doi.org/10.1016/j.xcrm.2023.101164

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