Purpose: An accurate zonal segmentation of the prostate is required for prostate cancer management with MRI.Approach:The aim of this work is to present UFNet, a deep learning-based method for automatic zonal segmentation of the prostate from T2-weighted (T2w) MRI. It takes into account the image anisotropy, includes both spatial andchannel-wise...
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March 14, 2022 (v1)Journal articleUploaded on: December 3, 2022
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September 18, 2022 (v1)Conference paper
International audience
Uploaded on: December 4, 2022 -
February 15, 2022 (v1)Journal article
OBJECTIVE: A reliable estimation of prostate volume (PV) is essential to prostate cancer management. Theobjective of our multi-rater study was to compare intra and inter-rater variability of PV frommanual planimetry and ellipsoid formulas.METHODS: Forty treatment-naive patients who underwent prostate MRI were selected from a localdatabase. PV...
Uploaded on: December 3, 2022