Abstract Background and Objectives:-Esophageal malignant growth is probably the
deadliest kind of disease in people. It positions seventh as far as disease and 6th as far as …

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 …

In order to detect early stomach malignancies, upper GI endoscopy is commonly used. An
object detection model, a form of deep learning, was projected as a means of automating the …

Background and Aims The prognosis of esophageal cancer is relatively poor. Patients are
usually diagnosed at an advanced stage when it is often too late for effective treatment …

Esophageal cancer is a common malignant tumor in daily life, which seriously affects human
health. Esophageal cancer in China. The incidence rate is among the highest in the world …

The identification of diseases is inseparable from artificial intelligence. As an important
branch of artificial intelligence, convolutional neural networks play an important role in the …

Artificial intelligence and disease detection go hand in hand. Convolutional neural networks,
a significant area of artificial intelligence applications, are crucial in the detection of stomach …

Detection of diseases with the help of computer has helped the doctors in recognizing the
colorectal cancer more efficiently, that further helps in treatment and increases the survival …

With the continuous progress in the era of big data, artificial intelligence technology has
begun to get more and more applications in medicine, and it is becoming more and more …

nowadays, there are different types of endoscopic images due to the dramatic development
of medical imaging technologies and according to the sensitivity of this issue, proper …