Medical image team

Medical images are the most important tool in the diagnosis of many diseases and help the medical team in the process of identifying and treating the patient. These images have a wide variety, such as radiology images, ultrasound images and three-dimensional CT Scan and MRI images, or retinal images, etc. However, in many cases, the stages of analyzing these images and determining the disease is a complex process that requires knowledge. High and sometimes it takes a long time.

The goal of this team is to design and produce software that enables the analysis of these images and, if necessary, identifies the main points or parts of the images in two-dimensional or three-dimensional form and simplifies the process of disease diagnosis. Or even confirm and level the disease itself.

In these systems, types of deep convolutional neural networks are usually used, and the most important part of the work is identifying the challenge and providing a solution in the first step, and selecting and optimizing the appropriate network in the second step.

Projects in progress:
-- Dimensioning of ultrasound images
-- Diagnosis of intestinal compression disease based on dynamic ultrasound images
-- Brain tumor three-dimensionalization in MRI images
-- Three-dimensionalization of cerebral vessels in MRI images