Deep learning based Diagnosis of diseases using Image Classification Ansh Saxena Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Noida. New Delhi, India ansh.saxena@student.amity.edu Richa Gupta Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Noida. New Delhi, India rgupta6@amity.edu Shiva Singh Tomar Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Noida. New Delhi, India shiva.tomar@student.amity.edu Gaurav Jain Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Noida. New Delhi, India gaurav.jan9@student.amity.edu Abstract— Any disease whether it is curable or not, it must be diagnosed properly with some time in hand to take the appropriate actions in time. As it is popularly said that early detection of any disease is half cured. For detection of the diseases like Pneumonia, Covid-19, Brain Tumor Radiography, Computed Tomography are a technique popularly used nowadays. The motivation towards the study of the topic was that due to our country’s population density, the vulnerability of getting infected and not being treated nicely was exposed during the outbreak of Covid-19. The ratio of doctors in India is nearly 1:1456 which means 1 doctor has approximately 1456 patients to deal with. That also results in a lot of time being wasted on diagnosis, scheduling appointments, collection of reports, etc. which could prove to be critical for a patient. To reduce all the time being wasted, with the help of machine learning we intend to learn if we can predict if the patient is infected with a certain disease or not. How do we do that is by using deep learning models and analyze on the basis of a few X- Ray scan of the Chest to detect Pneumonia. Keywords—Chest X-Ray Scans, Pneumonia, CNN- Convolutional Neural Networks, Deep Learning, Transfer Learining I. INTRODUCTION Any disease whether it is curable or not, it must be diagnosed properly with some time in hand to take the appropriate actions in time. As it is popularly said that early detection of any disease is half cured. As we age our body’s natural defenses subsided reliable and, as a result, seniors are more vulnerable to infection – including pneumonia. this is often an illness that seems to affect the elderly during a radically different way than how it does to people in other age groups. The age brings several health challenges but there are a couple of health complications, which will be taken care of by recognizing and identifying the first signs. one among them is pneumonia. As we age our body’s natural defenses subsided reliable and, as a result, seniors are more vulnerable to infection – including pneumonia. this is often an illness that seems to affect the elderly during a radically different way than how it does to people in other age groups. Pneumonia within the elderly is often life-threatening. There are some symptoms like Cough, Fever as Most of the people with this condition suffer from sudden fever, Shortness of Breath because the air sacs within the lungs can fill with fluid or pus if you have got this condition which also causes a cough but also difficulty in breathing and a pain because the infection within the lungs can cause pain in elders while coughing and breathing. The pain is chronic and may be extremely painful. In today’s world, pneumonia is that the very leading explanation for death in children and one among the highest diseases with such mortality rates worldwide. It is a sort of a lung infection that is caused due to the viruses, fungi, or bacteria. The detection of pneumonia is usually administered by examining chest X-Ray radiography by highly trained specialists. the method is extremely tedious, first getting the appointments from the highly trained doctors then their availability causes delays in detection and their treatment. Often, the method of detection also results in a disagreement between radiologists. For detection of the diseases like Pneumonia, Computed Tomography are a technique popularly used nowadays. The CXRs which stand for chest X-rays are very simple, economical because of which also the most commonly used tool for diagnosing lung diseases. When any experienced radiologist interprets an X-ray it is diagnosed as either normal or perceive to have a disease like carcinoma, tuberculosis, or pneumonia. one among the foremost common chest diseases as pneumonia, a lung infection caused by viruses, bacteria, or fungi. We have observed that the computer-aided diagnosis systems have shown the potential for improving diagnostic accuracy. We also intend to perform experimental studies that further demonstrate that this dataset is useful for Developing organ- wise models to detect various types of diseases based on Image Classification. Image and the part of the body given as input and given to the classifier which in-turn gives it to the model and it classifies the image as the detection of disease, or it is a normal condition. Therefore, we suggest the use of an automated analysis of chest CT images for the detection of Pneumonia. It helps in reducing the critical time before deciding the appropriate course of action. However, it does not recommend the removal of confirmatory tests like Blood 399 © IEEE 2021. This article is free to access and download, along with rights for full text and data mining, re-use and analysis. 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence) | 978-1-6654-1451-7/20/$31.00 ©2021 IEEE | DOI: 10.1109/Confluence51648.2021.9377154