Artificial Intelligence

Automated system to detect colorectal cancer

Researchers designed an automated Artificial Intelligence-based system to detect colorectal cancer

April 16, 2021
The Scitech

A team of researchers from the Indian Institute of Technology Guwahati (IIT-Guwahati) has designed an automated Artificial Intelligence-based system to detect colorectal cancer in collaboration with scientists from research institutions in Japan and the United States of America. The commonly used technique to detect colorectal cancer is colonoscopy which visually inspects the image obtained by a camera inserted into the colon of the subject. In the current manual approach for colonoscopy examination, observation bias may sometimes lead to an erroneous diagnosis. The new technique promises to overcome this problem and help the physician to not only accurately but also rapidly detect cancer. It is also based on analysis of colonoscopy images. The only difference is that the system is based on artificial intelligence and does the analysis automatically.

Scientists from the Cotton University, Guwahati, Aichi Medical University, Japan, and Harvard University and University of Texas in USA collaborated with Prof. Manas Kamal Bhuyan, Professor, Dept of Electronics and Electrical Engineering of IIT Guwahati in this project. Assisted by his former postdoctoral student, Dr. Kangkana Bora, who is now an assistant professor at the Cotton University, Prof Bhuyan analysed real colonoscopy images generated by Dr. Kunio Kasugai of Aichi Medical University, to develop the new system. Prof. Zhongming Zhao from the University of Texas, Health Science Centre, Houston, USA, and Dr. Saurav Mallik of Harvard University, USA have also contributed to the study. “Our extensive experiments show that the proposed method outperforms the existing feature-based (conventional) approaches for colonic polyp detection,” scientists noted in their research paper published in Scientific Reports.

To evaluate the robustness of their system, they compared their work with four classical deep learning models and found theirs to be better than others. “Our AI algorithm can be easily integrated with the current methods of diagnosis, which is a significant USP for this work,” the team said. The research team is excited with their results and believes that their work would have a global impact on the detection of colorectal cancer. However, before commercialization, they have laid out an ambitious research plan to fine tune their system. “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”, says Prof. Bhuyan, who led the study. The team also proposes to implement their analytical approach into a computational tool for easy use.

Source: India Science wire