Hoogeweg, Noa (2022) Abnormality classification of simulated whole digital breast tomosynthesis im-ages using deep convolutional neural networks. Master's Internship Report, Biomedical Engineering.
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Abstract
De begeleider en/of auteur heeft geen toestemming gegeven tot het openbaar maken van de scriptie. The supervisor and/or the author did not authorize public publication of the thesis.
Item Type: | Thesis (Master's Internship Report) |
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Supervisor name: | Greuter, M.J.W. and Ooijen, P.M.A. van |
Degree programme: | Biomedical Engineering |
Thesis type: | Master's Internship Report |
Language: | English |
Date Deposited: | 01 Jul 2022 12:55 |
Last Modified: | 01 Jul 2022 12:55 |
URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/27537 |
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