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Scientists from IIT Guwahati develop an automated system to detect colorectal cancer

Share Guwahati: A team of researchers from the Indian Institute of Technology Guwahati (IIT Guwahati) led by Prof. Manas Kamal Bhuyan, Professor, Dept of Electronics and Electrical Engineering of IIT Guwahati, along with scientists from renowned research institutes around the world, have designed an automated Artificial Intelligence-based system to detect colorectal cancer using colonoscopy images. Results of their work have recently been published in a prestigious journal belonging to the Nature group – Scientific Reports. The paper has been co-authored by Dr. Kangkana Bora of Cotton University, Guwahati, Dr. Kunio Kasugai of Aichi Medical University, Japan. Prof. Zhongming Zhao from the University of Texas, Health Science Centre, Houston, USA, and Dr. Saurav Mallik of

IIT Guwahati researchers develop automated AI-based system to detect colorectal cancer using colonos- Edexlive

IIT Guwahati researchers develop automated AI-based system to detect colorectal cancer using colonos- Edexlive
edexlive.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from edexlive.com Daily Mail and Mail on Sunday newspapers.

IIT team develops automated system to detect colorectal cancer

IIT Guwahati researchers design AI-based system to detect colorectal cancer using colonoscopy images

The News Scroll 04 March 2021   Last Updated at 6:15 pm | Source: PTI IIT Guwahati researchers design AI-based system to detect colorectal cancer using colonoscopy images Outlook March 04, 2021 18:15 IST IIT Guwahati researchers design AI-based system to detect colorectal cancer using colonoscopy images outlookindia.com 1970-01-01T05:30:00+0530 Guwahati, Mar 4 (PTI) A team of researchers from Indian Institute of Technology, Guwahati (IITG), along with scientists from renowned research institutes around the world, have designed an automated Artificial Intelligence-based system to detect colorectal cancer using colonoscopy images. Results of the work have recently been published in a prestigious journal belonging to the Nature group - Scientific

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