Applied Computer Vision on 2-Dimensional Lung X-Ray Images for Assisted Medical Diagnosis of Pneumonia

This study focuses on the application of a specific subfield artificial intelligence referred to as computer vision in analysis 2-dimensional lung x-ray images for assisted medical diagnosis ordinary pneumonia. A convolutional neural network algorithm was implemented Python-coded, Flask-based web that can analyze detection Since algorithms rely machine learning identification and patterns, technique transfer train patterns within dataset. Open-source were used training data create knowledge base served core element experimental design employed 5-Trial Confirmatory Test validation application. The results show calculation Diagnostic Precision Percentage per Trial, General Percentage, Error while Confusion Matrix further shows relationship between label corresponding result each test images. developed be by practitioners A.I.-assisted pneumonia, researchers fields science bioinformatics.