CT Normal and Hemorrhage Axial Scans: 2,786 Diagnostic Images

Kaggle hosts 2,786 Computed Tomography images intended for the diagnostic task of identifying hemorrhage. The dataset's author, organization, and specific collection details are not provided. The last update date and license information are also unknown.

Use Cases

• Train image classification models to distinguish between normal CT scans and those showing hemorrhage.
• Develop object detection models to localize hemorrhage regions within axial CT slices.
• Benchmark the performance of medical imaging AI algorithms on a dedicated diagnostic task.

Strengths

• Contains 2,786 medical images, providing a substantial volume for model training.
• Focuses on a specific and critical diagnostic task: hemorrhage detection.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Kaggle