Al-karawi, D. and Landolfo, C. and Du, Hongbo and Al-Assam, Hisham and Sayasneh, A. and Timmerman, Dirk and Bourne, Tom and Jassim, Sabah A. (2019) Prospective clinical evaluation of texture‐based features analysis of ultrasound ovarian scans for distinguishing benign and malignant adnexal tumors. In: Fourth International IOTA Congress, April 18-19 2019, Leuven, Belgium.
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Official URL: https://onlinelibrary.wiley.com/doi/10.1002/ajum.1...
| Item Type: | Conference or Workshop Item (Other) |
|---|---|
| Additional Information: | Prospective clinical evaluation of Texture-based Features Analysis of Ultrasound Ovarian scans for Distinguishing Benign and Malignant Tumors has been accepted and selected within the top 5 of submissions. Therefore you are invited to present your abstract in the Top5 plenary session (3 minutes presentation and max. 2 min discussion) |
| Uncontrolled Keywords: | Ovarian tumours; Machine Learning; texture-based features, Prospective clinical test; ML software |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > RZ Other systems of medicine |
| Divisions: | School of Computing |
| Depositing User: | Rachel Pollard |
| Date Deposited: | 25 Nov 2019 15:09 |
| Last Modified: | 25 Nov 2019 15:09 |
| URI: | http://bear.buckingham.ac.uk/id/eprint/399 |
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