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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

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

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

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

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.

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.