Project with Sheba medical center on AI for Ultrasound Images for Liver Fat patients
- Classify fibrosis stage F0-F4 according to the US images and additional data
- Compare to the SWE method
- Check if additional data increase the accuracy (more images, BMI, vital signs, blood tests etc.)
- “Ground truth”: Biopsy
- Improve the accuracy in F1-F3
- Give confidence level for the classification according to number of images used:
- Check if more images increases the accuracy
- Improve the accuracy in F1-F3
- Tool to decide how many images to take
- Can the images classify S levels?
- 2D shear wave elastography is a technique embedded in ultrasound machines
- It allows the interrogation of the tissue by acoustic radiation force impulses induced into the tissues by focused ultrasonic beams and captures the propagation of resulting shear waves in real time.
- Elasticity is displayed using a color-coded image superimposed on a B-mode image, and at the same time, a quantitative estimation of liver stiffness (LS) can be performed in a certain region of interest (ROI)
- Multiple samples may increase the accuracy of the classification by examining more ROIs
