Hoogeweg, Noa (2022) Abnormality classification of simulated whole digital breast tomosynthesis im-ages using deep convolutional neural networks. Master's Internship Report, Biomedical Engineering.
![[img]](https://fse.studenttheses.ub.rug.nl/style/images/fileicons/text.png) |
Text
mBME_2022_HoogewegNM.pdf Restricted to Registered users only Download (1MB) |
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) |
|---|---|
| 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 |
Actions (login required)
 |
View Item |