Marco Moschetta

According to our database, Marco Moschetta authored at least 11 papers between 2009 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis.

Annarita Fanizzi, Teresa M. A. Basile, Liliana Losurdo, Roberto Bellotti, Ubaldo Bottigli, Rosalba Dentamaro, Vittorio Didonna, Alfonso Fausto, Raffaella Massafra, Marco Moschetta, Ondina Popescu, Pasquale Tamborra, Sabina Tangaro, Daniele La Forgia

BMC Bioinform., March, 2020

2019

A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images.

Vitoantonio Bevilacqua, Antonio Brunetti, Giacomo Donato Cascarano, Andrea Guerriero, Francesco Pesce, Marco Moschetta, Loreto Gesualdo

BMC Medical Informatics Decis. Mak., 2019

A performance comparison between shallow and deeper neural networks supervised classification of tomosynthesis breast lesions images.

Vitoantonio Bevilacqua, Antonio Brunetti, Andrea Guerriero, Gianpaolo Francesco Trotta, Michele Telegrafo, Marco Moschetta

Cogn. Syst. Res., 2019

Detection and Segmentation of Kidneys from Magnetic Resonance Images in Patients with Autosomal Dominant Polycystic Kidney Disease.

Antonio Brunetti, Giacomo Donato Cascarano, Irio De Feudis, Marco Moschetta, Loreto Gesualdo, Vitoantonio Bevilacqua

Proceedings of the Intelligent Computing Theories and Application, 2019

2018

A Combined Approach of Multiscale Texture Analysis and Interest Point/Corner Detectors for Microcalcifications Diagnosis.

Liliana Losurdo, Annarita Fanizzi, Teresa Maria Altomare Basile, Roberto Bellotti, Ubaldo Bottigli, Rosalba Dentamaro, Vittorio Didonna, Alfonso Fausto, Raffaella Massafra, Alfonso Monaco, Marco Moschetta, Ondina Popescu, Pasquale Tamborra, Sabina Tangaro, Daniele La Forgia

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.

Vitoantonio Bevilacqua, Antonio Brunetti, Giacomo Donato Cascarano, Flavio Palmieri, Andrea Guerriero, Marco Moschetta

Proceedings of the Intelligent Computing Theories and Application, 2018

2017

A Supervised Breast Lesion Images Classification from Tomosynthesis Technique.

Vitoantonio Bevilacqua, Daniele Altini, Martino Bruni, Marco Riezzo, Antonio Brunetti, Claudio Loconsole, Andrea Guerriero, Gianpaolo Francesco Trotta, Rocco Fasano, Marica Di Pirchio, Cristina Tartaglia, Elena Ventrella, Michele Telegrafo, Marco Moschetta

Proceedings of the Intelligent Computing Theories and Application, 2017

2016

Computer Assisted Detection of Breast Lesions in Magnetic Resonance Images.

Vitoantonio Bevilacqua, Maurizio Triggiani, Maurizio Dimatteo, Giuseppe Bellantuono, Antonio Brunetti, Leonarda Carnimeo, Francescomaria Marino, Michele Telegrafo, Marco Moschetta

Proceedings of the Intelligent Computing Theories and Application, 2016

An Optimized Feed-forward Artificial Neural Network Topology to Support Radiologists in Breast Lesions Classification.

Vitoantonio Bevilacqua, Antonio Brunetti, Maurizio Triggiani, Domenico Magaletti, Michele Telegrafo, Marco Moschetta

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2011

3D Virtual Colonoscopy for Polyps Detection by Supervised Artificial Neural Networks.

Vitoantonio Bevilacqua, Domenico De Fano, Silvia Giannini, Giuseppe Mastronardi, Valerio Paradiso, Marcello Pennini, Michele Piccinni, Giuseppe Angelelli, Marco Moschetta

Proceedings of the Bio-Inspired Computing and Applications, 2011

2009

Image Processing Framework for Virtual Colonoscopy.

Vitoantonio Bevilacqua, Marco Cortellino, Michele Piccinni, Antonio Scarpa, Diego Taurino, Giuseppe Mastronardi, Marco Moschetta, Giuseppe Angelelli

Proceedings of the Emerging Intelligent Computing Technology and Applications, 2009