M
Mattia Delli Priscoli
Researcher at University of Salerno
Publications - 8
Citations - 57
Mattia Delli Priscoli is an academic researcher from University of Salerno. The author has contributed to research in topics: Artificial neural network & Computer science. The author has an hindex of 3, co-authored 5 publications receiving 11 citations.
Papers
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Journal ArticleDOI
Sugeno integral generalization applied to improve adaptive image binarization
Francesco Bardozzo,Borja de la Osa,Ľubomíra Horanská,Javier Fumanal-Idocin,Mattia Delli Priscoli,Luigi Troiano,Roberto Tagliaferri,Javier Fernández,Humberto Bustince +8 more
TL;DR: Experimental results show that the proposed methodology produced a better image quality thresholding than well-known global and local thresholding algorithms.
Proceedings ArticleDOI
A comparative analysis of multi-backbone Mask R-CNN for surgical tools detection
Gioele Ciaparrone,Francesco Bardozzo,Mattia Delli Priscoli,Juanita Londono Kallewaard,Maycol Ruiz Zuluaga,Roberto Tagliaferri +5 more
TL;DR: The results show that it is possible to employ a modern CNN to tackle the surgical tool detection problem, with the best-performing Mask R-CNN configuration achieving 87% Average Precision at Intersection over Union (IOU) 0.5.
Journal ArticleDOI
Neuroblastoma Cells Classification Through Learning Approaches by Direct Analysis of Digital Holograms
Mattia Delli Priscoli,Pasquale Memmolo,Gioele Ciaparrone,Vittorio Bianco,Francesco Merola,Lisa Miccio,Francesco Bardozzo,Daniele Pirone,Martina Mugnano,Flora Cimmino,Mario Capasso,Achille Iolascon,Pietro Ferraro,Roberto Tagliaferri +13 more
TL;DR: A training strategy is developed, based on deep and feature based machine learning models, in order to extract complex amplitude information of the sample by skipping the classical reconstruction process for classifying different neuroblastoma cells.
Journal ArticleDOI
Deep Learning-Based, Misalignment Resilient, Real-Time Fourier Ptychographic Microscopy Reconstruction of Biological Tissue Slides
Vittorio Bianco,Mattia Delli Priscoli,Daniel Pirone,G. Zanfardino,Pasquale Memmolo,Francesco Bardozzo,Lisa Miccio,Gioele Ciaparrone,Pietro Ferraro,Roberto Tagliaferri +9 more
TL;DR: In this paper , a generative adversarial network is trained to emulate the complex amplitude estimation of Fourier ptychographic images acquired using a severely misaligned setup, which can accurately reconstruct images of animal neural tissue slides.
Journal ArticleDOI
Adaptive binarization based on fuzzy integrals.
Francesco Bardozzo,Borja de la Osa,L’ubomíra Horanská,Javier Fumanal-Idocin,Mattia Delli Priscoli,Luigi Troiano,Roberto Tagliaferri,Javier Fernández,Humberto Bustince +8 more
TL;DR: A new generalization of the Sugeno and CF 1,2 integrals is proposed to improve existing results with an efficient integral image computation and can be used as a tool for grayscale processing in real-time and deep-learning applications.