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Computer-aided Diagnosis of Polyp Classification Using Scale Invariant Features and Extreme Gradient Boosting

Publication Type : Journal Article

Publisher : Journal of Medical Physics

Source : Journal of Medical Physics 48(3):p 230-237, Jul–Sep 2023.

Url : https://journals.lww.com/jomp/fulltext/2023/48030/computer_aided_diagnosis_of_polyp_classification.2.aspx?context=latestarticles

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

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