Chest Diseases Detection Using Convolutional Neural Networks

Abstract

X-ray pictures are utilized in medication to photo the inner structure of the human body such as bones, skulls, teeth, and chest …etc. [1]. Today, we are facing huge chest diseases that may affect the body and lead to the death of humans. Chest diseases are a very popular and dangerous problem. And it is a very earnest health problem so we must be stricter about diseases of that type because it may lead to death [12]. So it very important to save time in chest cases because time is very important do chest patient may feel he/she cannot take a breath so doctors need to diagnose the patient’s case to control the disease as fast as can. Nowadays a lot of researches has been working how to detect chest diseases by AI methodologies that is help in a lot of different fields [1]. As you can see below that using also X-ray images to applying CNN algorithms that make to detect diseases so x-ray has a very important role in detect diseases generally. Now can detect diseases by the power of computation resources. And now they reach software that takes a photo to x-ray and then applying an algorithm on this picture to detect disease