Spine X-Ray Classification Using Deep Learning

This project focuses on analyzing and classifying spine X-ray images to detect abnormalities using deep learning techniques. The workflow includes data preprocessing, augmentation, model training, and evaluation using convolutional neural networks (CNNs).

The dataset is processed with Pandas, NumPy, and OpenCV, while visualization and analysis are done using Matplotlib and Seaborn. The deep learning models are implemented with TensorFlow/Keras or PyTorch, achieving high accuracy in medical image classification.