Listar1. Investigación por tema "Multimodal"
Mostrando ítems 1-4 de 4
-
Enhancing Retinal Blood Vessel Segmentation through Self-Supervised Pre-Training
(MDPI AG, 2020-08-25)[Abstract] The segmentation of the retinal vasculature is fundamental in the study of many diseases. However, its manual completion is problematic, which motivates the research on automatic methods. Nowadays, these methods ... -
Paired and Unpaired Deep Generative Models on Multimodal Retinal Image Reconstruction
(M D P I AG, 2019-08-07)[Abstract] This work explores the use of paired and unpaired data for training deep neural networks in the multimodal reconstruction of retinal images. Particularly, we focus on the reconstruction of fluorescein angiography ... -
Self-Supervised Multimodal Reconstruction of Retinal Images Over Paired Datasets
(Elsevier Ltd, 2020-12-15)[Abstract] Data scarcity represents an important constraint for the training of deep neural networks in medical imaging. Medical image labeling, especially if pixel-level annotations are required, is an expensive task ... -
Sistema robótico multimodal de miembro superior para interacción con entornos físicos
(Comité Español de Automática, 2016)[Resumen] Este artículo describe el diseño de un sistema robótico multimodal enfocado a proporcionar a personas con movilidad reducida, la capacidades de interaccionar con objetos reales. Con este sistema se pretende cubrir ...
