Name
Title | ||
|---|---|---|
Prostate158 - An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection |
Abstract | ||
|---|---|---|
•We provide a new high-quality, expert-annotated open prostate 3T MRI dataset.•Inclusion of DWI images in model training may improve PCa segmentation.•Open-source model allows segmentation of prostate anatomical zones and lesions.•The proposed model is robust and generalized to independent, external datasets.•Prostate158 facilitates comparison of future models to a realistic baseline. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.compbiomed.2022.105817 | Computers in Biology and Medicine |
Keywords | DocType | Volume |
Prostate cancer,Deep learning,Machine learning,Artificial intelligence,Magnetic resonance imaging,Biparametric prostate MRI | Journal | 148 |
ISSN | Citations | PageRank |
0010-4825 | 0 | 0.34 |
References | Authors | |
0 | 11 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lisa C Adams | 1 | 0 | 0.34 |
| Marcus R Makowski | 2 | 0 | 0.34 |
| Günther Engel | 3 | 0 | 0.34 |
| Maximilian Rattunde | 4 | 0 | 0.34 |
| Felix Busch | 5 | 0 | 0.34 |
| Patrick Asbach | 6 | 0 | 0.34 |
| Stefan M Niehues | 7 | 0 | 0.34 |
| Shankeeth Vinayahalingam | 8 | 0 | 0.34 |
| Bram van Ginneken | 9 | 4979 | 307.23 |
| Geert Litjens | 10 | 0 | 0.34 |
| Keno K Bressem | 11 | 0 | 0.34 |