ravi-gopalan/predicting_pneumonia

Attempts at creating a Deep Learning model to automatically detect pneumonia from chest X-rays at a level exceeding practicing radiologists. This can help in improved outcomes in health-care delivery.

predicting_pneumonia from X-Ray Images

Dataset from kaggle: https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia/downloads/chest-xray-pneumonia.zip/2

Libraries required File & Directory Manipulation:** os, pathlib (Path), shutil, glob

Image Manipulation:** PIL (Image & ImageFIle)

Data Visualizations:** matplotlib.pyplot, matplotlib.gridspec, seaborn

Arrays & DataFrames**: numpy, pandas

Balancing Datasets:** imblearn.under_sampling, imblearn.over_sampling

Deep Learning:** keras.layers, keras.callbacks, keras.models, keras.applications

Data Preprocessing:** keras.preprocessing

Model metrics:** sklearn.metrics

Other utility libraries: sklearn.datasets, keras.utils, tqdm