This contribution presents a deep learning method for the segmentation o...
Wildfires represent one of the most relevant natural disasters worldwide...
This study focuses on comparing deep learning methods for the segmentati...
Few-shot learning is a challenging area of research that aims to learn n...
Sign Language Recognition (SLR) systems aim to be embedded in video stre...
Identifying the type of kidney stones can allow urologists to determine ...
This contribution presents a deep-learning method for extracting and fus...
This contribution shows how an appropriate image pre-processing can impr...
This contribution presents a deep learning method for the extraction and...
Endoscopy is the most widely used imaging technique for the diagnosis of...
Knowing the cause of kidney stone formation is crucial to establish
trea...
Prostate cancer is the second-most frequently diagnosed cancer and the s...
Feature engineering has become one of the most important steps to improv...
Endoscopy is the most widely used medical technique for cancer and polyp...
In this contribution we use an ensemble deep-learning method for combini...
Among the different kinds of fire accidents that can occur during indust...
Deep Metric Learning (DML) methods have been proven relevant for visual
...
The retinal vessel network studied through fundus images contributes to ...
Identifying the type of kidney stones can allow urologists to determine ...
This contribution presents a deep-learning method for extracting and fus...
Determining the type of kidney stones allows urologists to prescribe a
t...
Jet fires are relatively small and have the least severe effects among t...
Risk assessment is relevant in any workplace, however there is a degree ...
The optimization of Binary Neural Networks (BNNs) relies on approximatin...
Image-based tracking of laparoscopic instruments plays a fundamental rol...