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3D-OOCS: Learning Prostate Segmentation with Inductive Bias [article]

Shrajan Bhandary, Zahra Babaiee, Dejan Kostyszyn, Tobias Fechter, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu
<span title="2022-04-20">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The use of 3D-OOCS also helps 3D U-Nets to scrutinise and delineate anatomical structures present in 3D images with increased accuracy.We compared the state-of-the-art 3D U-Nets with their 3D-OOCS extensions  ...  The use of 2D-OOCS in any standard CNN network complements the feedforward framework with sharp edge-detection inductive biases.  ...  Summary of Contributions: • 3D-OOCS Kernels. We extend the 2D OOCS inductive biases of the retina, to a 3D medical-image setting. • 3D-OOCS Encoders.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2110.15664v2">arXiv:2110.15664v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/avgqnxhhhbey5gbna7wcdrkup4">fatcat:avgqnxhhhbey5gbna7wcdrkup4</a> </span>
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