Novel adenocarcinoma esophagus prediction using deep belief network of machine learning
International Journal of Mechanical Engineering · 2023
Adenocarcinoma esophagus detection on early stages is very difficult in traditional imaging detection methods as its spread area is complete esophagus.By using deep learning it become quite accurate than other methods but still in deep learning method scientist uses gradient descent based learning parameter to diagnosis of cancer cells of esophagus, which leads to false negative and positive datasets when high degree of class imbalance is there.In this article a technique which uses a Barrett's esophagus image to predict the adenocarcinoma esophagus with Raven Roosting Optimization algorithm is discussed.