Bone Fracture X-ray Dataset: Simple vs. Comminuted Fractures

Published: 25 November 2024| Version 2 | DOI: 10.17632/vg95gvhj3y.2
Contributors:
Fahim Faisal Talha Talha,
,

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: Simple Fracture: Images exclusively sourced from hospital records. Original: 164 images, augmented to 3,280 images. Comminuted Fracture: A mix of hospital-sourced images and web-sourced images (approximately one-third from web pages). Original: 145 images, augmented to 2,900 images. The dataset has been updated to provide a larger variety of augmented images using additional augmentation techniques. It now includes a total of 6,489 augmented images, ensuring more comprehensive coverage of potential fracture patterns. Key Features: Number of Original Images: 309 Number of Augmented Images: 6,489 Total Dataset Size: 6,798 images (Original + Augmented) File Formats: JPG, PNG Augmentation Techniques: High brightness, low brightness, high contrast, low contrast, rotations, and varied orientations. Update Details (Version 2): Original Submission Date: 15 Nov 2024 Update Date: 23 Nov 2024 Changes in This Version: The dataset size has been increased with additional augmented images (from 3,090 to 6,489 augmented images). Updated augmentation techniques to include more diverse transformations. Improved class balance: Simple Fracture: Increased from 1,640 to 3,280 augmented images. Comminuted Fracture: Increased from 1,450 to 2,900 augmented images. Applications: 1.Medical Imaging: Useful for training models in fracture classification and identification. 2.Healthcare Technology: Supports the development of diagnostic tools and mobile applications for real-time fracture detection. 3.Medical Research: Assists in understanding fracture patterns and their visual indicators. Dataset Collection: The simple fracture images were exclusively sourced from hospitals, ensuring clinical relevance. The comminuted fracture images were gathered from a combination of hospital and web sources, with approximately one-third originating from web pages. This dataset aims to provide realistic scenarios for training models in a clinical setting, incorporating diverse lighting conditions and image orientations to simulate various imaging environments.

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Institutions

Daffodil International University

Categories

Bone Fracture

Licence