Search Results for author: Dejan Kostyszyn

Found 3 papers, 2 papers with code

IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels

1 code implementation28 Oct 2022 Shrajan Bhandary, Zahra Babaiee, Dejan Kostyszyn, Tobias Fechter, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu

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 scanners, and the variety of image properties they produce.

Image Segmentation Inductive Bias +2

3D-OOCS: Learning Prostate Segmentation with Inductive Bias

1 code implementation29 Oct 2021 Shrajan Bhandary, Zahra Babaiee, Dejan Kostyszyn, Tobias Fechter, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu

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 protocols utilized by different scanners, and to the variety of image properties or artefacts they produce.

Edge Detection Image Segmentation +4

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