Embedded Vision and Cancer Detection
Embedded Vision refers to a combination of computer vision and embedded systems. Embedded Vision devices include anything that is microprocessor-based and has image sensor functionality, excluding personal computers. Common examples of embedded vision devices are smartphones and tablets. There are also other devices like state-of-the-art medical diagnosis equipment that have object recognition capability.
These devices can interpret the environment based on visual data. This is why embedded systems are proving to be useful for the medical diagnosis of diseases such as cancer. The primary application of computer vision had been earlier limited to academic applications. But in the past few years, with the reduction in costs and rise in performance and functionality for microprocessors, image sensors and other associated devices, the technology has become a lot more accessible.
For cancer detection, video analysis and embedded vision can serve as the main treatment equipment in clinics and hospitals. It has the result of increasing accuracy and efficiency of clinicians and radiologists in detection and treatment of cancer. The definition and high quality of output from the x-ray machines and scanners renders them useful in automatic analysis, whether anomaly detection and tumor, or for tracking progress in cancer screening.
