M
M. Saletta
Researcher at Istituto Nazionale di Fisica Nucleare
Publications - 6
Citations - 944
M. Saletta is an academic researcher from Istituto Nazionale di Fisica Nucleare. The author has contributed to research in topics: Computer-aided diagnosis & Cancer. The author has an hindex of 3, co-authored 6 publications receiving 601 citations.
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Journal ArticleDOI
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge.
Arnaud Arindra Adiyoso Setio,Alberto Traverso,Thomas de Bel,Moira S.N. Berens,Cas van den Bogaard,Piergiorgio Cerello,Hao Chen,Qi Dou,Maria Evelina Fantacci,Bram Geurts,Robbert van der Gugten,Pheng-Ann Heng,Bart Jansen,Michael M.J. de Kaste,Valentin Kotov,Jack Yu-Hung Lin,Jeroen Manders,Alexander Sóñora-Mengana,Juan C. García-Naranjo,Evgenia Papavasileiou,Mathias Prokop,M. Saletta,Cornelia M. Schaefer-Prokop,Ernst T. Scholten,Luuk Scholten,Miranda M. Snoeren,Ernesto Lopez Torres,Jef Vandemeulebroucke,Nicole Walasek,Guido Zuidhof,Bram van Ginneken,Colin Jacobs +31 more
TL;DR: The LUNA16 challenge is described, an objective evaluation framework for automatic nodule detection algorithms using the largest publicly available reference database of chest CT scans, the LIDC‐IDRI data set, and the results so far are presented.
Journal ArticleDOI
Large scale validation of the M5L lung CAD on heterogeneous CT datasets
E. López Torres,Elisa Fiorina,Francesco Pennazio,Cristiana Peroni,M. Saletta,Niccolò Camarlinghi,Maria Evelina Fantacci,Piergiorgio Cerello +7 more
TL;DR: M5L results do not deteriorate when increasing the dataset size, making it a candidate for supporting radiologists on large scale screenings and clinical programs, and the development of a dedicated module for GGOs detection could further improve it.
Journal ArticleDOI
A cloud-based computer-aided detection system improves identification of lung nodules on computed tomography scans of patients with extra-thoracic malignancies
Lorenzo Vassallo,Alberto Traverso,Alberto Traverso,Michelangelo Agnello,C. Bracco,Delia Campanella,Gabriele Chiara,Maria Evelina Fantacci,Ernesto Lopez Torres,Antonio Manca,M. Saletta,Valentina Giannini,Simone Mazzetti,Michele Stasi,Piergiorgio Cerello,Daniele Regge +15 more
TL;DR: In patients with extra-thoracic malignancies, CAD-assisted reading improves detection of ≥ 3-mm lung nodules on CT, slightly increasing reading time, and cloud-based CAD systems may represent a cost-effective solution since CAD results can be reviewed while a separated cloud back-end is taking care of computations.
Journal ArticleDOI
Clinical validation of the M5L lung Computer-Assisted Detection system
E. López Torres,Alberto Traverso,S. Bagnasco,C. Bracco,Delia Campanella,Maria Evelina Fantacci,Stefano Lusso,Daniele Regge,M. Saletta,Michele Stasi,Sara Vallero,Lorenzo Vassallo,Piergiorgio Cerello +12 more
Book ChapterDOI
M5L: A web-based Computer Aided Detection system for automated search of lung nodules in thoracic Computed Tomography scans
Alberto Traverso,Michelangelo Agnello,Piergiorgio Cerello,M. Saletta,S. Bagnasco,Cristiana Peroni,Elisa Fiorina,Maria Evelina Fantacci,Alessandra Retico,Ernesto Lopez Torres +9 more
TL;DR: The project has proposed a Cloud SaaS (Software as a Service) approach composed by three main building blocks: a front-end web which handles the workflow, image upload, CAD results notification and direct on-line annotation of the exam by the radiologist.