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

Yeo, M; Tahayori, B; Kok, HK; Maingard, Julian; Kutaiba, N; Russell, J; Thijs, V; Jhamb, A; Chandra, RV; Brooks, M; Barras, CD; Asadi, Hamed

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

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posted on 2025-06-02, 04:34 authored by M Yeo, B Tahayori, HK Kok, Julian MaingardJulian Maingard, N Kutaiba, J Russell, V Thijs, A Jhamb, RV Chandra, M Brooks, CD Barras, Hamed AsadiHamed Asadi

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

History

Journal

European radiology experimental

Volume

7

Article number

17

Pagination

1-13

Location

Berlin, Germany

ISSN

2509-9280

eISSN

2509-9280

Language

eng

Author URL

https://www.ncbi.nlm.nih.gov/pubmed/37032417

Publication classification

C1 Refereed article in a scholarly journal

Issue

1

Publisher

Springer

Publication URL

http://dx.doi.org/10.1186/s41747-023-00330-3

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

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