City Research Online - A machine learning approach for Colles' fracture treatment diagnosis

A machine learning approach for Colles' fracture treatment diagnosis

Ngan, K. H., d'Avila Garcez, A., Knapp, K. , Appelboam, A. & Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018 (2020). A machine learning approach for Colles' fracture treatment diagnosis. In: Medical Image Understanding and Analysis: 24th Annual Conference, MIUA 2020, Oxford, UK, July 15-17, 2020, Proceedings. Communications in Computer and Information Science (1248). (pp. 319-330). Cham: Springer. doi: 10.1007/978-3-030-52791-4_25

Publication Type:	Book Section
Additional Information:	© Springer Nature Switzerland AG 2020
Publisher Keywords:	Fracture; Radiography; Feature analysis; Random forest
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > RC Internal medicine
Departments:	School of Science & Technology > Computer Science > giCentre

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Creators:	Ngan, K. H. d'Avila Garcez, A. Knapp, K. Appelboam, A. Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018
Status:	Published
Refereed:	Yes
Publisher:	Springer
ISBN:	978-3-030-52790-7
URI:	https://openaccess.city.ac.uk/id/eprint/25605
Date available in CRO:	03 Feb 2021 16:20
Date deposited:	3 February 2021
Dates:	Date Event 15 July 2020 Published 8 July 2020 Published Online