It has existed demonstrated that a successful figure processing approach can process real-time endoscopic videos to assist specialists in making critical conclusions about cancer patients. An productive diagnostic measure in gastrointestinal area is endoscopy, which us an endoscope with a camcorder and a transmitter which sends television frames. Using the existing software, the representations are taken from original-time endoscopic videos and fed into MATLAB for figure processing. The treated videos' output is then provided back into the host program. Image processing techniques have happened used to identify and advance the visualization of polyps in the gastro intestinal plan, which assists experts in making decisions. The system's goal search out let the specialist or medical practitioner visualize and recognize problematic constructions such as polyps and bleeding spots all the while endoscopic operations. This submitted approach is tested on a recorded gastrointestinal dataset that has ten series videos of 7894 frames.
Author(s) Details:
Nagesh B. S.,
Department
of CSE, R. N. S. Institute of Technology, Bengaluru, India.
N.
P. Kavya,
Department
of CSE, R. N. S. Institute of Technology, Bengaluru, India.
Please see the link here: https://stm.bookpi.org/RATMCS-V6/article/view/12524
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