Al-karawi, Durgham and Landolfo, Chiara and Du, Hongbo and Al-Assam, Hisham and Sayasneh, Ahmad and Timmerman, Dirk and Bourne, Tom and Jassim, Sabah A. (2019) OC04.04 : A machine-learning algorithm to distinguish benign and malignant adnexal tumours from ultrasound images. In: 29th ISUOG Congress 2019., 12-16 October 2019, Berlin, Germany.
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Official URL: https://obgyn.onlinelibrary.wiley.com/doi/full/10....
Abstract
The accurate preoperative diagnosis of adnexal tumours as benign or malignant is pivotal to optimise patient management. We developed a Machine Learning (ML) Algorithm to characterise adnexal tumours as benign or malignant from ultrasound images.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Additional Information: | Abstract published in vol 54 Issue S1, Abstracts of the 29th World Congress on Ultrasound in Obstetrics and Gynecology |
| Uncontrolled Keywords: | Ovary, Cancer, Fallopian tubes |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | School of Computing |
| Depositing User: | Rachel Pollard |
| Date Deposited: | 25 Nov 2019 12:11 |
| Last Modified: | 19 Feb 2020 10:08 |
| URI: | http://bear.buckingham.ac.uk/id/eprint/406 |
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