Searched for: contributor%3A%22Landman%2C+Bennett+A.+%28editor%29%22
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Dushatskiy, A. (author), Lowe, Gerry (author), Bosman, P.A.N. (author), Alderliesten, T. (author)
Deep learning algorithms have become the golden standard for segmentation of medical imaging data. In most works, the variability and heterogeneity of real clinical data is acknowledged to still be a problem. One way to automatically overcome this is to capture and exploit this variation explicitly. Here, we propose an approach that improves...
conference paper 2022
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Bosma, Martijn M.A. (author), Dushatskiy, A. (author), Grewal, M. (author), Alderliesten, T. (author), Bosman, P.A.N. (author)
Deep Neural Networks (DNNs) have the potential for making various clinical procedures more time-efficient by automating medical image segmentation. Due to their strong, in some cases human-level, performance, they have become the standard approach in this field. The design of the best possible medical image segmentation DNNs, however, is task...
conference paper 2022
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Vigueras Guillén, J.P. (author), Lemij, Hans G. (author), Van Rooij, Jeroen (author), Vermeer, K.A. (author), van Vliet, L.J. (author)
In images of the corneal endothelium (CE) acquired by specular microscopy, endothelial cells are commonly only visible in a part of the image due to varying contrast, mainly caused by challenging imaging conditions as a result of a strongly curved endothelium. In order to estimate the morphometric parameters of the corneal endothelium, the...
conference paper 2019
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Bhosale, P.S. (author), Staring, M. (author), Al-Ars, Z. (author), Berendsen, Floris F. (author)
Currently, non-rigid image registration algorithms are too computationally intensive to use in time-critical applications. Existing implementations that focus on speed typically address this by either parallelization on GPU-hardware, or by introducing methodically novel techniques into CPU-oriented algorithms. Stochastic gradient descent (SGD...
conference paper 2018
Searched for: contributor%3A%22Landman%2C+Bennett+A.+%28editor%29%22
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