Investigating the Performance of Generative Adversarial Networks for Prostate Tissue Detection and Segmentation
- DOI
- 10.3390/jimaging6090083
- Published
- 2020-08-24
- Container
- Journal of Imaging
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/jimaging6090083,
title = {Investigating the Performance of Generative Adversarial Networks for Prostate Tissue Detection and Segmentation},
author = {Ufuk Cem Birbiri and Azam Hamidinekoo and Amélie Grall and Paul Malcolm and Reyer Zwiggelaar},
year = {2020},
journal = {Journal of Imaging},
doi = {10.3390/jimaging6090083},
url = {https://doi.org/10.3390/jimaging6090083}
}RIS
TY - JOUR TI - Investigating the Performance of Generative Adversarial Networks for Prostate Tissue Detection and Segmentation AU - Ufuk Cem Birbiri AU - Azam Hamidinekoo AU - Amélie Grall AU - Paul Malcolm AU - Reyer Zwiggelaar PY - 2020 JO - Journal of Imaging DO - 10.3390/jimaging6090083 UR - https://doi.org/10.3390/jimaging6090083 ER -
APA
Birbiri, U. C., Hamidinekoo, A., Grall, A., Malcolm, P., & Zwiggelaar, R. (2020). Investigating the Performance of Generative Adversarial Networks for Prostate Tissue Detection and Segmentation. Journal of Imaging. https://doi.org/10.3390/jimaging6090083
Source records
- crossref · retrieved 2026-09-26T03:16:30.877Z