Vast majority of research was done between 2006 and 2017 at Technincal University of Cluj Napoca
To inexperienced eye, some images appear as a collection of random noise. This noise create the visual sensation of shapes and objects. I devised a way to quantify this intuition and use it to detect useful information from very “noisy” images.
Texture analysis is viewed as a method to enhance the
diagnosis power of classical B-mode ultrasound image.
I thoroughly investigated such tools both on actual liver ultrasounds and on a novel liver tissue model.
There were many problems investigated, for most of them, the trained machine learning models reached very high level of accuracy.