Synthetically Generated X-ray Images of Lung Cancer Patients" dataset offers an extensive collection of high-quality synthetic X-ray images designed for the training and development of AI and machine learning models in medical imaging. With over 1 million images, this dataset serves as a valuable resource for researchers, medical professionals, and developers focused on improving diagnostic accuracy and creating advanced AI systems for lung cancer detection.

Features:

• Global Coverage: Includes synthetic X-ray images representing a wide variety of lung cancer conditions and patient demographics from across the globe.
• Extensive Volume: Contains over 1 million high-resolution images, providing a substantial dataset for comprehensive analysis and model training.
• Format: Available in high-resolution JPEG format, facilitating easy integration with various image analysis tools and AI platforms.
• Detailed Annotations: Each image is accompanied by precise annotations, including synthetic diagnoses such as different stages of lung cancer, tumor locations, and other relevant clinical information.

Preview:

Usage:

This dataset can be utilized for various applications, including but not limited to:

• Training AI models for the detection and classification of lung cancer.
• Developing diagnostic tools and applications for pulmonology and oncology.
• Researching lung cancer patterns, stages, and characteristics.
• Enhancing the accuracy and robustness of existing medical imaging AI systems.

License:

The dataset is provided under the CC0 (Public Domain) license, allowing users to freely use, modify, and distribute the data without any restrictions.