Esophageal Cancer Detection Using Feed-Forward Neural Network

Esophageal malignant growth is probably the deadliest kind of disease in people. It positions seventh as far as disease and 6th as far as passings worldwide, as indicated by the insights of the World Health Organization for the year 2020. That is why we aim to develop a computer system that works on the early …

Multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy

A substantial impediment to widespread Coronavirus disease (COVID-19) vaccination is vaccine hesitancy. Many researchers across scientific disciplines have presented countless studies in favor of COVID-19 vaccination, but misinformation on social media could hinder vaccination efforts and increase vaccine hesitancy. Nevertheless, studying people’s perceptions on social media to understand their sentiment presents a powerful medium for …

Early Esophageal Cancer detection using Deep learning Techniques. (Review Article)

   Esophageal cancer is one of the deadliest diseases for humans, since it is discovered in very advanced stages. As result, pathologists are increasingly relying in image recognition and artificial intelligence tools to aid in the early identification and evaluation of this lesion. We examined a number of papers that dealt with this issue during …