7 citations · 15 across the 10 of their papers we have counts for
3 papers · 1 filter
Segmentation of Prostate Tumour Volumes from PET Images is a Different Ball Game
Shrajan Bhandary, Dejan Kuhn, Zahra Babaiee +5
Accurate segmentation of prostate tumours from PET images presents a formidable challenge in medical image analysis. Despite considerable work and improvement in delineating organs…
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels
Shrajan Bhandary, Zahra Babaiee, Dejan Kostyszyn +4
Despite the success of convolutional neural networks for 3D medical-image segmentation, the architectures currently used are still not robust enough to the protocols of different s…
3D-OOCS: Learning Prostate Segmentation with Inductive Bias
Shrajan Bhandary, Zahra Babaiee, Dejan Kostyszyn +4
Despite the great success of convolutional neural networks (CNN) in 3D medical image segmentation tasks, the methods currently in use are still not robust enough to the different p…