According to our database1, Marco Moschetta authored at least 10 papers between 2009 and 2019.
Legend:Book In proceedings Article PhD thesis Other
A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images.
BMC Medical Informatics Decis. Mak., 2019
A performance comparison between shallow and deeper neural networks supervised classification of tomosynthesis breast lesions images.
Cogn. Syst. Res., 2019
Detection and Segmentation of Kidneys from Magnetic Resonance Images in Patients with Autosomal Dominant Polycystic Kidney Disease.
Proceedings of the Intelligent Computing Theories and Application, 2019
A Combined Approach of Multiscale Texture Analysis and Interest Point/Corner Detectors for Microcalcifications Diagnosis.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018
A Deep Learning Approach for the Automatic Detection and Segmentation in Autosomal Dominant Polycystic Kidney Disease Based on Magnetic Resonance Images.
Proceedings of the Intelligent Computing Theories and Application, 2018
Proceedings of the Intelligent Computing Theories and Application, 2017
Proceedings of the Intelligent Computing Theories and Application, 2016
An Optimized Feed-forward Artificial Neural Network Topology to Support Radiologists in Breast Lesions Classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
3D Virtual Colonoscopy for Polyps Detection by Supervised Artificial Neural Networks.
Proceedings of the Bio-Inspired Computing and Applications, 2011
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2009