Artificial Intelligence

2D image can now be converted to 3D using Artificial Intelligence, internal diseases will identify accurately

Artificial Intelligence (AI) can now convert 2D images to 3D images. Scientists have identified this technique as important for accurate identification of activities and diseases within the body. A team of researchers from the University of California in Los Angeles has developed a technique using deep learning, which can further enhance the capabilities of Florence microscopy. By doing this, scientists will be able to help treat a cell that sheds more light on it.

Changes in the cells within the body are at risk of serious diseases because, often due to chemical processes, cells begin to develop poorly. Treatment requires microscopy. In this process, the disease is identified by placing a microscope inside the body. Doctors evaluate all the movements inside and treat it after the disease is diagnosed by the cameras in it. But often the uncontrolled growth and changes in the cells do not take hold of the 2D camera mounted in the microscope because, these cameras can only image their front surface. According to senior scientist Idogan Ozcan, this is a very powerful method. It can easily detect harmful elements in the presence of light.

Deep Z Framework can fix image shortcomings

Researchers say that 3D of the camera mounted in the microscope can be created using Artificial Intelligence, which allows this 3D image to be created as soon as it reaches the microscope. "The benefit of this is that every intestinal ankle can be examined," he said. This will reduce the likelihood that disease or uncontrolled changes in cells will be impossible to detect. According to Nature Methods, the Deep Z Framework has capabilities that can fix defects in images. Simultaneously it can transform 2D images from a microscope into 3D. With this technology microscopy can make treatment more effective.