Cancer Detection Using Hyperspectral Imaging and M-FISH Technique

Medical imaging plays a crucial role in the diagnosis of various diseases. Modern technology has made many innovations for diagnosing the disease so that human race can lead a healthy life. One of such innovation is medical imaging. Along with MRI (Magnetic Resonance Imaging), Computed Tomography (CT), Ultrasonopgraphy a new technology called Hyperspetral imaging is gaining popularity in medical field. This paper provides an overview about the Hyperspectral technology and the algorithms used. We have discussed the hyperspectral image along M-FISH technique act as an efficient way to detect the cancer in its early stage. The main challenge in this method is the overlapping of the spectrum of the fluorescent colors in the hyperspectral image. We have presented a review of spectral unmixing algorithms which are used in classification of overlapping of spectrum of fluorescent colors and suggested a combination of algorithms to effectively reduce the overlapping of spectral.