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pro vyhledávání: '"Munoz-Barrutia A"'
In any computer vision task involving color images, a necessary step is classifying pixels according to color and segmenting the respective areas. However, the development of methods able to successfully complete this task has proven challenging, mai
Externí odkaz:
http://arxiv.org/abs/2211.08460
The development of new treatments often requires clinical trials with translational animal models using (pre)-clinical imaging to characterize inter-species pathological processes. Deep Learning (DL) models are commonly used to automate retrieving re
Externí odkaz:
http://arxiv.org/abs/2203.01668
Autor:
Franco-Barranco, Daniel, Pastor-Tronch, Julio, Gonzalez-Marfil, Aitor, Muñoz-Barrutia, Arrate, Arganda-Carreras, Ignacio
Accurate segmentation of electron microscopy (EM) volumes of the brain is essential to characterize neuronal structures at a cell or organelle level. While supervised deep learning methods have led to major breakthroughs in that direction during the
Externí odkaz:
http://arxiv.org/abs/2202.10773
Autor:
Gómez-de-Mariscal, Estibaliz, Jayatilaka, Hasini, Çiçek, Özgün, Brox, Thomas, Wirtz, Denis, Muñoz-Barrutia, Arrate
Studying cell morphology changes in time is critical to understanding cell migration mechanisms. In this work, we present a deep learning-based workflow to segment cancer cells embedded in 3D collagen matrices and imaged with phase-contrast microscop
Externí odkaz:
http://arxiv.org/abs/2112.08817
Electron microscopy (EM) allows the identification of intracellular organelles such as mitochondria, providing insights for clinical and scientific studies. In recent years, a number of novel deep learning architectures have been published reporting
Externí odkaz:
http://arxiv.org/abs/2104.03577
Publikováno v:
IEEE Transactions on Image Processing, vol. 19(9), pp. 2290 - 2306, 2010
The efficient realization of linear space-variant (non-convolution) filters is a challenging computational problem in image processing. In this paper, we demonstrate that it is possible to filter an image with a Gaussian-like elliptic window of varyi
Externí odkaz:
http://arxiv.org/abs/1003.2022
We demonstrate that it is possible to filter an image with an elliptic window of varying size, elongation and orientation with a fixed computational cost per pixel. Our method involves the application of a suitable global pre-integrator followed by a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db7b5579ff2eeb1d454ca755496872f7