Can Medical Imaging Perform Better With Computer Vision?

Can Medical Imaging Perform Better With Computer Vision?

Healthcare Tech Outlook | Thursday, November 21, 2019

Medical Imaging helps a doctor to completely utilize every feature of medical imaging data starting from enhanced diagnosis and superior treatment of diseases.

FREMONT, CA: Medical imaging allows the training computers to duplicate human sight and figure out the objects being studied. It will enable the extensive use of medical imaging information. The technology has gotten into every medical field, where it carries out the job of a physician in just minutes. Medical imaging is improved by blending artificial intelligence (AI) and deep learning that makes use of algorithms to develop images rapidly and with a more precise treatment.

Medical imaging, when used in diagnosis, can help in cost-cutting in various areas such as in care delivery. It is a time-consuming and dull task that can be performed by the machines, allowing clinicians to give better patient care and enhanced outcomes.

Earlier it was a challenge to utilize medical imaging due to the complications in dealing with computer vision. With the introduction of deep learning and neural networks, discovery, segmentation, and classification of images, everything is now being possible. In computer vision, low-level processing includes essential imaging functions such as noise filtering, image sharpening, and contrast enhancement, whereas, in the mid-level processing, it is image segmentation and pattern recognition.

On the other hand, the high-level processing and examination using computer vision take place by employing processes that leverage 3D image segmentation, 3D visualization and animation, and other medical treatments such as neural networks.

The medical usage of imaging helps physicians in the early identification of critical diseases within the body. Therefore, medical imaging has indicated a broad application in surgery and therapy of diseases. Lately, a variety of tools has been made to determine blood loss during childbirth and foresee heart rhythm fluctuations. When the measure of blood loss is precisely measured, then the doctors successfully appropriately treat their patients by preventing additional blood loss.

Mainly, it helps in treating diseases like hemorrhages and strokes, which are entirely time-sensitive. In the present time, researches are conducted towards identifying the pulmonary nodules in lung scans and treat those nodules with the help of high-resolution CT scans. Furthermore, it is medical imaging that plays a significant role in computer vision as it makes use of massive computing power while boosting the use of it in the industry.

Check out: Top Image Analysis Consulting/Services Companies

Weekly Brief