Pallabi Sharma1,*, Kangkana Bora2, Kunio Kasugai3, Bunil Kumar Balabantaray1
Oncologie, Vol.22, No.3, pp. 129-145, 2020, DOI:10.32604/oncologie.2020.013870
Abstract In this paper, we address a current problem in medical image processing,
the detection of colorectal cancer from colonoscopy videos. According to
worldwide cancer statistics, colorectal cancer is one of the most common cancers.
The process of screening and the removal of pre-cancerous cells from the large
intestine is a crucial task to date. The traditional manual process is dependent on
the expertise of the medical practitioner. In this paper, a two-stage classification is
proposed to detect colorectal cancer. In the first stage, frames of colonoscopy video
are extracted and are rated as significant if it contains a polyp, and… More >
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