Bone Fracture X-ray Dataset: Simple vs. Comminuted Fractures
Description
Description: This dataset has been curated to support research in bone fracture classification, specifically focusing on simple and comminuted fractures. It includes high-quality X-ray images to aid in the development and evaluation of machine learning models for medical imaging applications. This dataset is ideal for image classification, segmentation, and fracture type recognition tasks. Dataset Overview: The dataset contains X-ray images of bones affected by two types of fractures: 1.Simple Fracture: Images sourced directly from hospital records (164 images, augmented to 1,640 images). 2.Comminuted Fracture: A mix of hospital-sourced images and web-sourced images (145 images, augmented to 1,450 images). The images are captured under diverse real-world settings to ensure a robust dataset for training and testing purposes. Augmentation techniques, including adjustments in brightness, contrast, orientation, and angle, have been applied to increase the variety and volume of images. Key Features: Number of Original Images: 309 Number of Augmented Images: 3,090 File Formats: JPG, PNG Augmentation Techniques: High brightness, low brightness, high contrast, low contrast, different angles, and orientations. Applications: Medical Imaging: Useful for training models in fracture classification and identification. Healthcare Technology: Supports the development of diagnostic tools and mobile applications for real-time fracture detection. Medical Research: Assists in understanding fracture patterns and their visual indicators. Dataset Collection: The simple fracture images were exclusively sourced from hospitals, while the comminuted fracture images were gathered from a combination of hospital and web sources (approximately one-third from web pages). This dataset aims to provide realistic scenarios for training models in a clinical setting, with diverse lighting and orientation conditions to simulate various imaging environments.