PULMO-X An Android-based Application for the Detection of Pulmonary Diseases using Chest X-ray Images.pptx

PULMO-X: AN ANDROID-BASED APPLICATION FOR THE DETECTION OF PULMONARY DISEASES USING CHEST X-RAY IMAGES  OVERVIEW Introduction Existing Systems Tools used to Develop Problem Methodo...

PULMO-X: AN ANDROID-BASED APPLICATION FOR THE DETECTION OF PULMONARY DISEASES USING CHEST X-RAY IMAGES  OVERVIEW Introduction Existing Systems Tools used to Develop Problem Methodology Statement Interface Screenshots Architecture Scope Result Flow chart Conclusion Features  INTRODUCTION The risk of lung diseases is enormous, especially in developing and low-middle-income countries, where millions of people are facing poverty and air pollution. Respiratory diseases, including pulmonary tuberculosis (PTB), COVID-19, and pneumonia, are among the most common diseases clinically. Misdiagnosis is common in primary hospitals and can lead to inappropriate treatment, prolonged recovery time, and limited experience of doctors at primary hospitals, which also worsens the situation.  PNEUMONIA Pneumonia is an infection in the lungs, affecting the alveoli, the small air sacs in the lungs. According to the estimation of WHO, over 3.2 million premature deaths occur annually from household air pollution- related diseases, including pneumonia. Graphical analysis of pneumonia is shown Figure 1: Shows cases of Pneumonia from different age group in Figure 1  COVID-19 The COVID-19 global pandemic affects health care and lifestyle worldwide, and its early detection is necessary to control cases. Since late December 2019, a novel coronavirus disease (COVID-19) has been causing serious lung damage and breathing problems. Graphical analysis of COVID-19 cases is Figure 2: Shows cases of Covid-19 from 2019-2022 shown in Figure 2.  TUBERCULOSIS Tuberculosis (TB) is a disease caused by germs that are spread from person to person through the air. A person with TB can die if they do not get treatment. Approximately, 1.5 million people died from TB in 2020 as shown in Figure 3. Figure 3: Shows cases of TB From 2020-2022  PROBLEM STATEMENT "Timely detection of pulmonary diseases like pneumonia, COVID-19, and TB is crucial due to global health challenges. Advanced technology can improve patient care and support healthcare centers."  SCOPE This project developed an Android-based application for detecting pulmonary disease. The following will show you the scope of our application below.. X-ray Detection Exercise Guide Descriptions Available Provide help  FEATURES Detection of Image Upload Diseases Exercise Guide Description  EXISTING SYSTEMS/SOLUTION Table 1: Comparison of already existing applications Applications Name Features Take Detect Disease Diseases Description Patient Health (Tuberculosis, Covid- (Causes, Symptoms, Free Ad’s Free Image History Exercises 19, and Pneumonia) Treatments)  All Respiratory Diseases        Diseases Detector        Lung’s Auscultation       Lungs Breathing        Exercise PULMO-X (Proposed        Solution) METHODOLOGY Architecture Flow chart Figure 12: Flowchart of back-end  TOOLS USED TO DEVELOP Hardware Tools: Software Tools:  Processor-core i5  Android SDK (Java 22.0.1)  Hard Disk 64 GB  Operating System: Windows (10)  Memory 4GB RAM  Python (3.12.0) and above Hardware Requirements of the system  Ionic framework (6) and above on which the application is intended to  gradle-8.5 run are:  VSCodeUserSetup-x64-1.85.0 Mobile phone compatible with Android OS. INTERFACE INTERFACE INTERFACE INTERFACE INTERFACE  RESULT Results of X-ray Images The following pie chart show the predicted results of normal, pneumonia, COVID-19, and tuberculosis tested X-ray Images. The accuracy level of our pre-trained model is 90%. Normal Pneumonia Tuberculosis Covid-19  Normal TB Figure (a), (b), (c), (d), and (e) show the predicted results of normal tested X- Figure(a), (b), (c), (d), and (e) show the predicted results of tuberculosis-tested X-ray ray Images with 80% confidence level Images with a 100% confidence level  PNEUMONIA COVID Figure (a), (b), (c), (d), and (e) show the predicted results of COVID-19- Figure (a), (b), (c), (d), and (e) show the predicted results of pneumonia-tested tested X-ray Images with an 80% confidence level X-ray Images with a 100% confidence level  CONCLUSION In this project, PULMO-X is developed for the detection of pulmonary diseases from X-ray images. As a result, the affected patient’s treatment quality can be improved. PULMO-X detects the inflammatory area in chest X-ray images. THANK YOU