Dataset of prostate MRI annotated for anatomical zones and cancer

In the present work, we present a publicly available, expert-segmented representative dataset of 158 3.0 Tesla biparametric MRIs [1]. There is an increasing number of studies investigating prostate and prostate carcinoma segmentation using deep learning (DL) with 3D architectures [2], [3], [4], [5],...

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Detalles Bibliográficos
Autores principales: Adams, Lisa C., Makowski, Marcus R., Engel, Günther, Rattunde, Maximilian, Busch, Felix, Asbach, Patrick, Niehues, Stefan M., Vinayahalingam, Shankeeth, van Ginneken, Bram, Litjens, Geert, Bressem, Keno K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679750/
https://www.ncbi.nlm.nih.gov/pubmed/36426089
http://dx.doi.org/10.1016/j.dib.2022.108739

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679750/
https://www.ncbi.nlm.nih.gov/pubmed/36426089
http://dx.doi.org/10.1016/j.dib.2022.108739

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