3 papers
Defect Segmentation in OCT scans of ceramic parts for non-destructive inspection using deep learning
Andrés Laveda-Martínez, Natalia P. García-de-la-Puente, Fernando García-Torres +6
Non-destructive testing (NDT) is essential in ceramic manufacturing to ensure the quality of components without compromising their integrity. In this context, Optical Coherence Tom…
MID-INFRARED (MIR) OCT-based inspection in industry
N. P. García-de-la-Puente, Rocío del Amor, Fernando García-Torres +9
This paper aims to evaluate mid-infrared (MIR) Optical Coherence Tomography (OCT) systems as a tool to penetrate different materials and detect sub-surface irregularities. This is…
Development of an algorithm for medical image segmentation of bone tissue in interaction with metallic implants
Fernando García-Torres, Carmen Mínguez-Porter, Julia Tomás-Chenoll +2
This preliminary study focuses on the development of a medical image segmentation algorithm based on artificial intelligence for calculating bone growth in contact with metallic im…