Update README.md

README.md

@@ -89,3 +89,46 @@ The aim of this objective is to develop the mobile application. The mobile
 application is used for taking photos of a chest CT scan and upload it to the 
 cloud-based AI model for analyzing.
 
+**IT18115130 Senevirathne K.D.A**
+Image diagnosis is a vital problem in medicine. Now a day’s ongoing pandemic of 
+Covid-19 has become the major infectious diseases among all other diseases. 
+As we all know, Covid-19 is a fast-spreading viral disease. Researchers found 
+that patients with Covid-19 have proved that they are mostly affected by lung 
+diseases. Covid-19 is diagnosed using RT-PCR Testing, CT Scans and Chest X-Ray 
+(CXR) images. But the problem is RT-PCR test takes at least more than 12 hours 
+to get a result. Covid-19 patients should be identified and tracked as soon as 
+possible, and it requires specific material equipment. In developing countries,
+there is a lack of resources to do these tests. Even though methods that can 
+generate faster results exist, these methods are too expensive for third-world 
+countries like Sri Lanka.
+Most people like to get their reports in minimum time. In this kind of a 
+situation patients must wait for a long time, and it is stressful. If there is 
+a proper and speed method that gives the result in very accurate way that will 
+be helpful.
+Chest X-ray images become the less cost and time-effective tool for take the 
+decisions. Compared to other Chest X-ray methods, it is a lower-cost process, 
+and anyone can easily access this method. In this global pandemic, frequent 
+patients will need to be assessed in short periods by a few clinicians and very 
+few resources.
+Not only Covid-19 but also Pneumonia is an infectious disease that needs to be 
+diagnosed at an early stage. With the introduction of imaging, the diagnosis of 
+diseases using X-ray images of the chest has been accelerated. But it also 
+requires a specialist and a qualified radiologist to read the chest X-ray image 
+correctly. To this purpose, we are suggesting a joined method using image 
+processing and Convolution Neural Network for automated detection of covid-19 
+and pneumonia by using chest X-ray images.
+
+**Objectives**
+* Understanding correct objects and automatically process the data of that specific object and ready for the disease identification process. 
+
+* Segment the captured chest x-ray image to identify the image. 
+
+* Adding color filtering algorithm to the captured image 
+
+* Organize processed Data for disease identification algorithms. 
+
+* Developing an algorithm to analyze a sample of captured chest x-ray images to predict the disease. 
+
+* Developing a method for classifying lung diseases
+. 
+