Our study has been published in the Frontiers in Digital Health. By using a well-known pre-trained CNN model as a feature extractor, in combination with class activation maps, our aim was to understand which are the plaque areas, in carotid ultrasound images, that the model perceives in order to decide...
We are happy to announce a New Publication (Research Article), where researchers from the ehealthlab@CUT contributed. Experts from CUT, UCY, CYENS and NeHA in Cyprus, along with an expert from the Semmelweis University in Budapest (Hungary) joined forces for the development of a mobile application in order to facilitate citizens...
We are happy to announce our New Publication, presenting the AtheroRisk Software.The project was completed in September 2024, and has been rated as Excellent by an independent European Reviewer/Expert in Radiology!AtheroRisk offers:1) Carotid Ultrasound Image and Video Preprocessing and Analysis2) Cardiac cycle selection 3) Extraction/analysis of meaningful families of plaque...
During AtheroRisk, we conducted a study, where we trained and tested a pre-released DL segmentation model in automated carotid plaque annotation in 2D B-Mode ultrasound images. Importantly, we emphasized in image standardization and its contribution to reproducible and reliable plaque type (I to V) segmentations, which overall witnessed improvements when...
© 2025 ehealthlab@CUT
