3 citations · 5 across the 3 of their papers we have counts for
4 papers
DenseUNets with feedback non-local attention for the segmentation of specular microscopy images of the corneal endothelium with guttae
Juan P. Vigueras-Guillén, Jeroen van Rooij, Bart T. H. van Dooren +4
To estimate the corneal endothelial parameters from specular microscopy images depicting cornea guttata (Fuchs dystrophy), we propose a new deep learning methodology that includes…
Parallel Capsule Networks for Classification of White Blood Cells
Juan P. Vigueras-Guillén, Arijit Patra, Ola Engkvist +1
Capsule Networks (CapsNets) is a machine learning architecture proposed to overcome some of the shortcomings of convolutional neural networks (CNNs). However, CapsNets have mainly…
Rotaflip: A New CNN Layer for Regularization and Rotational Invariance in Medical Images
Juan P. Vigueras-Guillén, Joan Lasenby, Frank Seeliger
Regularization in convolutional neural networks (CNNs) is usually addressed with dropout layers. However, dropout is sometimes detrimental in the convolutional part of a CNN as it…
Redesigning Fully Convolutional DenseUNets for Large Histopathology Images
Juan P. Vigueras-Guillén, Joan Lasenby, Frank Seeliger
The automated segmentation of cancer tissue in histopathology images can help clinicians to detect, diagnose, and analyze such disease. Different from other natural images used in…