X-Ray Imaging Dataset for Detecting Fractured vs. Non-Fractured Bones

Published: 14 September 2026| Version 4 | DOI: 10.17632/cd6jjsxz44.4
Contributors:
Farhan Masud Nayem,
,

Description

This study uses a curated dataset of human bone X-ray images collected from two hospital laboratories, consisting of two classes: fractured and non-fractured bones. The dataset contains 580 original images (290 fractured and 290 non-fractured), with variations in size and resolution. All samples were carefully labeled and clinically verified by Dr. Mohammad Saiful Malek, MBBS, BCS (Health), Assistant Professor, Department of Surgery, Mymensingh Medical College, Bangladesh, ensuring reliable annotations for research. The dataset is organized into the following class folders: - Fractured - Non-Fractured Original images: - Fractured (290) - Non-Fractured (290)

Files

Steps to reproduce

## Use Case This dataset is suitable for: - Image classification tasks - Transfer learning model fine-tuning - Dataset augmentation research - Student or academic thesis

Institutions

Categories

Computer Science, Artificial Intelligence, Computer Vision, Image Processing, Deep Learning

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