Publication Type : Journal Article
Publisher : Journal of Medical Physics
Source : Journal of Medical Physics 48(3):p 230-237, Jul–Sep 2023.
Campus : Amritapuri
School : School of Computing
Year : 2023
Abstract : Aims: Analysis of colonoscopy images is an important diagnostic procedure in the identification of colorectal cancer. It has been observed that owing to advancements in technology, numerous machine-learning models now excel in the analysis of colorectal polyps classification. This work focused on developing a framework that can classify polyps using images during colonoscopy.
Cite this Research Publication : Don, S.. Computer-aided Diagnosis of Polyp Classification Using Scale Invariant Features and Extreme Gradient Boosting. Journal of Medical Physics 48(3):p 230-237, Jul–Sep 2023. | DOI: 10.4103/jmp.jmp_29_23