A Comprehensive Review for Classification and Segmentation of Gastro Intestine Tract
Neha Sharma, Avinash Sharma, Sheifali Gupta
Abstract
The term “gastrointestinal tract” refers to the digestive system that receives food, breaks it down, absorbs its nutrients, and then expels it as waste.The Gastrointestinal (GI) tract has a significant role in the global burden of cancer-related mortality. According to the Global Cancer Statistic 2020 figures, GI tract cancers are the main reason for cancer-related mortality and provide a substantial challenge to the rising life expectancy. Investigating and identifying GI tract anomalies need a thorough examination of the GI tract. So there is a need for a method by which these anomalies can be detected at an early stage. In this article, a comprehensive study of the research done in the area of the GI tract based on machine learning and deep learning techniques has been presented. The analysis of GI is divided into classification and segmentation. The paper covers all the techniques for classification and segmentation used in the previous years on different datasets.