11 citations · 27 across the 8 of their papers we have counts for
4 papers · 1 filter
Fine-tuning of explainable CNNs for skin lesion classification based on dermatologists' feedback towards increasing trust
Md Abdul Kadir, Fabrizio Nunnari, Daniel Sonntag
In this paper, we propose a CNN fine-tuning method which enables users to give simultaneous feedback on two outputs: the classification itself and the visual explanation for the cl…
Minimizing false negative rate in melanoma detection and providing insight into the causes of classification
Ellák Somfai, Benjámin Baffy, Kristian Fenech +8
Our goal is to bridge human and machine intelligence in melanoma detection. We develop a classification system exploiting a combination of visual pre-processing, deep learning, and…
A Competitive Deep Neural Network Approach for the ImageCLEFmed Caption 2020 Task
Marimuthu Kalimuthu, Fabrizio Nunnari, Daniel Sonntag
The aim of ImageCLEFmed Caption task is to develop a system that automatically labels radiology images with relevant medical concepts. We describe our Deep Neural Network (DNN) bas…
DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth
Jameel Malik, Ahmed Elhayek, Fabrizio Nunnari +4
Articulated hand pose and shape estimation is an important problem for vision-based applications such as augmented reality and animation. In contrast to the existing methods which…