Ricerc@Sapienza

Automated pavement crack detection and measurement are important road issues. Agencies have to guarantee the improvement of road safety. Conventional crack detection and measurement algorithms can be extremely time-consuming and low efficiency. Therefore, recently, innovative algorithms have received increased attention from researchers. In this paper, we propose an ensemble of convolutional neural networks (without a pooling layer) based on probability fusion for automated pavement crack detection and measurement.

(1) Background: We evaluated macular ganglion cell layer-inner plexiform layer (GCL-IPL) thickness in patients with primary macula-off rhegmatogenous retinal detachment (RRD) treated with scleral buckling (SB) or pars plana vitrectomy (PPV) using spectral domain optical coherence tomography (SD-OCT). (2) Methods: In this retrospective, observational study, we reviewed the medical records of patients undergoing SB or PPV surgery for macula-off RRD. SD-OCT was performed at three and 12 months after surgery.

Abstract
Background: Current magnetic resonance imaging (MRI) techniques for measuring extraocular muscle (EOM) volume
enlargement are not ideally suited for routine follow-up of Graves’ ophthalmopathy (GO) because the difficulty of
segmenting the muscles at the tendon insertion complicates and lengthens the study protocol.
Purpose: To measure the EOM sampled volume (SV) and assess its correlation with proptosis.
Material and Methods: A total of 37 patients with newly diagnosed GO underwent 3-T MRI scanning with iterative