Evaluation of techniques to improve a deep learning algorithm for the automatic detection of intracranial haemorrhage on CT head imaging

BACKGROUND: Deep learning (DL) algorithms are playing an increasing role in automatic medical image analysis. PURPOSE: To evaluate the performance of a DL model for the automatic detection of intracranial haemorrhage and its subtypes on non-contrast CT (NCCT) head studies and to compare the effects...

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Detalles Bibliográficos
Autores principales: Yeo, Melissa, Tahayori, Bahman, Kok, Hong Kuan, Maingard, Julian, Kutaiba, Numan, Russell, Jeremy, Thijs, Vincent, Jhamb, Ashu, Chandra, Ronil V., Brooks, Mark, Barras, Christen D., Asadi, Hamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10083149/
https://www.ncbi.nlm.nih.gov/pubmed/37032417
http://dx.doi.org/10.1186/s41747-023-00330-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10083149/
https://www.ncbi.nlm.nih.gov/pubmed/37032417
http://dx.doi.org/10.1186/s41747-023-00330-3

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