Zoekresultaten - Francesco Merolla

Prostate Gleason Score Detection by Calibrated Machine Learning Classification through Radiomic Features door Francesco Mercaldo, Maria Chiara Brunese, Francesco Merolla, Aldo Rocca, Marcello Zappia, Antonella Santone

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A deep learning model to predict Ki-67 positivity in oral squamous cell carcinoma door Francesco Martino, Gennaro Ilardi, Silvia Varricchio, Daniela Russo, Rosa Maria Di Crescenzo, Stefania Staibano, Francesco Merolla

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Closing the gap in the clinical adoption of computational pathology: a standardized, open-source framework to integrate deep-learning models into the laboratory information system door Miriam Angeloni, Davide Rizzi, Simon Schoen, Alessandro Caputo, Francesco Merolla, Arndt Hartmann, Fulvia Ferrazzi, Filippo Fraggetta

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Leveraging deep learning for identification and segmentation of “CAF-1/p60-positive” nuclei in oral squamous cell carcinoma tissue samples door Silvia Varricchio, Gennaro Ilardi, Daniela Russo, Rosa Maria Di Crescenzo, Angela Crispino, Stefania Staibano, Francesco Merolla

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Computer-assisted diagnosis to improve diagnostic pathology: A review door Alessandro Caputo, Elisabetta Maffei, Nalini Gupta, Luca Cima, Francesco Merolla, Giorgio Cazzaniga, Pietro Pepe, Paolo Verze, Filippo Fraggetta

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Deep Learning-Based Pixel-Wise Lesion Segmentation on Oral Squamous Cell Carcinoma Images door Francesco Martino, Domenico D. Bloisi, Andrea Pennisi, Mulham Fawakherji, Gennaro Ilardi, Daniela Russo, Daniele Nardi, Stefania Staibano, Francesco Merolla

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An Optimized NGS Workflow Defines Genetically Based Prognostic Categories for Patients with Uveal Melanoma door Michele Massimino, Elena Tirrò, Stefania Stella, Cristina Tomarchio, Sebastiano Di Bella, Silvia Rita Vitale, Chiara Conti, Marialuisa Puglisi, Rosa Maria Di Crescenzo, Silvia Varricchio, Francesco Merolla, Giuseppe Broggi, Federica Martorana, Alice Turdo, Miriam Gaggianesi, Livia Manzella, Andrea Russo, Giorgio Stassi, Rosario Caltabiano, Stefania Staibano, Paolo Vigneri

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Virtual Evaluation of Hematoxylin & Eosin via Digital Pathology Survey (VEED) Project: Results from a Non-Inferiority Study of a Tabs-Based Staining Method door Lorenzo Nibid, Erica Iannaccone, Elisabetta Maffei, Veronica Vicomandi, Martina D’Angelo, Cristiana Bellan, Bruna Cerbelli, Giorgio Cazzaniga, Vincenzo L’imperio, Albino Eccher, Giuseppe Nicolò Fanelli, Alessandro Gambella, Luca Mastracci, Giuseppe Ingravallo, Stefano Marletta, Francesco Merolla, Pasquale Pisapia, Luisella Righi, Silvia Uccella, Mariavittoria Vescovo, Roberto Virgili, Alessandro Caputo, Giuseppe Perrone

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