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Ketty Peris

Fondazione Policlinico Universitario A. Gemelli IRCCS - COU of Dermatology

SCHOLARLY PAPERS

2

DOWNLOADS

87

TOTAL CITATIONS

0

Scholarly Papers (2)

1.

Tumor Infiltrating Lymphocytes Recognition in Primary Melanoma by Deep Learning Convolutional Neuronal Network

Number of pages: 25 Posted: 15 Oct 2022
University of Florence, University of Florence, University of Florence, affiliation not provided to SSRN, University of Florence, affiliation not provided to SSRN, University of Florence, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Fondazione Policlinico Universitario A. Gemelli IRCCS - COU of Dermatology, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Perugia, University of Florence and National Research Council (CNR)
Downloads 59 (980,173)

Abstract:

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MELANOMA, Artificial intelligence, Convolutional Neural Network, Tumor Infiltrating Lymphocytes, Survival Analysis

2.

A phase II, open-label study to improve compliance and time of treatment after obtaining complete response (CR) through a tailored schedule of sonidegib in locally advanced basal cell carcinomas (LA BCC) – the SONIBEC trial

Number of pages: 13 Posted: 29 Apr 2026
Fondazione IRCCS Istituto Nazionale dei Tumori - Head and Neck Medical Oncology Unit, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Campania Luigi Vanvitelli, Ospedale Santa Chiara - Azienda Ospedaliero Universitaria Pisana, Fondazione Policlinico Universitario A. Gemelli IRCCS - COU of Dermatology, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Trieste, Fondazione IRCCS Istituto Nazionale dei Tumori, IRCCS Ospedale Policlinico San Martino - Department of Medical Oncology, IRCCS Humanitas Research Hospital, University of Brescia, University of Trieste and University of Brescia - Medical Oncology Unit
Downloads 28 (1,448,301)

Abstract:

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Basocellular carcinoma, complete response, treatment personalization, safety and tollerance