Dataset of prostate MRI annotated for anatomical zones and cancer

Author:

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.ORCID

Funder

Berlin Institute of Health

Deutsche Forschungsgemeinschaft

Charité – Universitätsmedizin Berlin

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference13 articles.

1. L.C. Adams, Makowski, M.R., Engel, G., Rattunde, M., Busch, F., Vinayahalingam, S., van Ginneken, B., Bressem, K.K., Prostate158 - An annotated MRI dataset and algorithm for prostate cancer detection, Computers in Biology and Medicine (In Press).

2. Anisotropic 3D multi-stream CNN for accurate prostate segmentation from multi-planar MRI;Meyer;Computer Methods and Programs in Biomedicine,2021

3. Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation;Wang;Medical physics,2019

4. Automatic MRI prostate segmentation using 3D deeply supervised FCN with concatenated atrous convolution, Medical Imaging 2019: Computer-Aided Diagnosis;Wang;SPIE,2019

5. 3D PBV-Net: an automated prostate MRI data segmentation method;Jin;Computers in Biology and Medicine,2021

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