image analysis

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…

Fully automated bladder tumor segmentation from T2 MRI images using 3D U-Net algorithm (2023)

Frontiers in Oncology Authors Diana Mihaela Coroamă, L. Dioşan, T. Telecan, I. Andraș, N. Crisan, Paul Medan, A. Andreica, C. Caraiani, A. Lebovici, B. Boca, Z. Bálint Abstract Introduction Bladder magnetic resonance imaging (MRI) has been recently integrated in the diagnosis pathway of bladder cancer. However, automatic recognition of suspicious lesions is still challenging.…