Tag: prostate cancer

Automatic Characterization of Prostate Suspect Lesions on T2-Weighted Image Acquisitions Using Texture Features and Machine-Learning Methods: A Pilot Study (2025)

Diagnostics Authors T. Telecan, C. Caraiani, B. Boca, Roxana Sipos-Lascu, L. Dioşan, Z. Bálint, Raluca Maria Hendea, I. Andraș, Nicolae Crișan, M. Lupșor-Platon Abstract Background: Prostate cancer (PCa) is the most frequent neoplasia in the male population. According to the International Society of Urological Pathology (ISUP), PCa can be divided into two major groups,…

A Light, 3D UNet-based Architecture for Fully Automatic Segmentation of Prostate Lesions from T2-MRI Images. (2023)

Current medical imaging Authors Z. Bálint, L.G. Coroama, L. Dioşan, T. Telecan, I. Andraș, N. Crisan, A. Andreica, C. Caraiani, A. Lebovici, B. Boca Abstract INTRODUCTION Prostate magnetic resonance imaging (MRI) has been recently integrated into the pathway of diagnosis of prostate cancer (PCa). However, the lack of an optimal contrast-to-noise ratio hinders automatic…

More than Meets the Eye: Using Textural Analysis and Artificial Intelligence as Decision Support Tools in Prostate Cancer Diagnosis—A Systematic Review (2022)

Journal of Personalized Medicine Authors T. Telecan, I. Andraș, N. Crisan, Lorin Giurgiu, E. Căta, C. Caraiani, A. Lebovici, B. Boca, Z. Bálint, L. Dioşan, M. Lupșor-Platon Abstract Introduction: Multiparametric magnetic resonance imaging (mpMRI) is the main imagistic tool employed to assess patients suspected of harboring prostate cancer (PCa), setting the indication for targeted…