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. Author manuscript; available in PMC: 2021 Jul 1.
Published in final edited form as: IEEE Trans Med Imaging. 2020 Feb 12;39(7):2531–2540. doi: 10.1109/TMI.2020.2973595

TABLE IV.

The Effect of Bigaug With Big Data (465 MRI Volumes From Multiple Medial Centers, MRI Vendors, and Protocols) for the Task of Whole Prostate Segmentation in MRI Volumes. Note That the State-of-the-Art Methods Marked With

Source Unseen
train val MSD-P PROMISE NCI-ISBI ProstateX Average
Baseline 95.6 89.9 87.8 82.9 88.8 90.6 87.5
BigAug (ours) 94.1 91.8 89.1 88.1 89.4 91.9 89.6
State-of-the-art - - - 91.4* [39] 89.3* [40] 91.9* 90.9
*

are Trained And Tested on the Same Domain or Inter-Observer Variability (91.9%). No Evaluation of the Whole Prostate Segmentation is Available in MSD Challenge (http://medicaldecathlon.com/results.html)