63 citations · 79 across the 11 of their papers we have counts for
4 papers · 1 filter
Some open questions on morphological operators and representations in the deep learning era
Jesus Angulo
During recent years, the renaissance of neural networks as the major machine learning paradigm and more specifically, the confirmation that deep learning techniques provide state-o…
Going beyond p-convolutions to learn grayscale morphological operators
Alexandre Kirszenberg, Guillaume Tochon, Elodie Puybareau +1
Integrating mathematical morphology operations within deep neural networks has been subject to increasing attention lately. However, replacing standard convolution layers with eros…
Morphological segmentation of hyperspectral images
Guillaume Noyel, Jesus Angulo, Dominique Jeulin
The present paper develops a general methodology for the morphological segmentation of hyperspectral images, i.e., with an important number of channels. This approach, based on wat…
Multivariate mathematical morphology for DCE-MRI image analysis in angiogenesis studies
Guillaume Noyel, Jesus Angulo, Dominique Jeulin +2
We propose a new computer aided detection framework for tumours acquired on DCE-MRI (Dynamic Contrast Enhanced Magnetic Resonance Imaging) series on small animals. In this approach…