Image Processing of X Ray Images
Image Processing through Convolution Neural Network
I have built an Image Processing System for Digital X-Ray Images to study the lungs of a person and predict if it is normal or infected with pneumonia.
Machine learning is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed. Or in other words, we train the algorithm with a set of data, and on the basis of the patterns formed on the dataset, the algorithm helps in predicting a requisite data.
Project used Machine Learning and Deep Learning to build the algorithm for this project. The dataset has various X-Ray images of the lungs. The normal chest X-ray depicts clear lungs without any areas of abnormal opacification in the image. Bacterial pneumonia typically exhibits a focal lobar consolidation, whereas viral pneumonia manifests with a more diffuse ‘‘interstitial’’ pattern in both lungs. These are the patterns that the ML algorithm builds on to make predictions on the test set.
Sources: Data Set : Kaggle (https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia/home) Refernces: http://cs231n.github.io/convolutional-networks/