GUWAHATI: An IIT Guwahati researchers’ team designed an automated Artificial Intelligence-based system to detect colorectal cancer using colonoscopy images. The researchers have published the results of their work in the journal Scientific Reports.
Led by professor Manas Kamal Bhuyan of the department of electronics and electrical engineering, the multi-institutional team extracted the shape, texture and color components of abnormal tissue growths (polyps) through artificial intelligence algorithms using different filters.
The team in their report said, “Our extensive experiments show that the proposed method outperforms the existing feature-based (conventional) approaches for colonic polyp detection.”
They added that the AI algorithm can be easily integrated with the current methods of diagnosis, which considered being a significant USP for this work. To evaluate the robustness of their system, the researchers compared their work with four classical deep learning models and found theirs to be better than others.
The research team has planned to commercialize the technology in the future. The team also proposed to implement their analytical approach into a computational tool for easy use.
“The work we have reported only focuses on single frames selected by the doctors. In the future, we will integrate it with video tracking and automatic frame selection”, said Bhuyan.
IIT Guwahati said colorectal cancer is the third most common type of cancer among men and women in the country. The commonly used technique to detect colorectal cancer is colonoscopy, in which the specialist visually inspects the image obtained by the camera inserted into the colon of the subject. In this manual approach for colonoscopy examination, observation bias may sometimes lead to an erroneous diagnosis.