Search Results for author:
Found 4 papers, 1 papers with code
A Multi-Task Learning Approach for Meal Assessment
Key role in the prevention of diet-related chronic diseases plays the balanced nutrition together with a proper diet.
Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks
In this study, we propose the use of a deep purely convolutional neural network for the semantic segmentation of ILD patterns, as the basic component of a computer aided diagnosis (CAD) system for ILDs.
Two-view 3D Reconstruction for Food Volume Estimation
The increasing prevalence of diet-related chronic diseases coupled with the ineffectiveness of traditional diet management methods have resulted in a need for novel tools to accurately and automatically assess meals.
Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis
In a previous study, we proposed a method for classifying lung tissue patterns using a deep convolutional neural network (CNN), with an architecture designed for the specific problem.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
