Index of Medical Imaging Datasets for AI Research

An index lists numerous medical imaging datasets, including CT, MRI, and 4D-lung scans. The collection was compiled by the author 'linhandev' and was last updated in August 2024. Specific datasets referenced include MSD, TCIA, Qin Lung CT, and Qin Prostate Repeatability.

Use Cases

• Training segmentation models on lung CT scans from the '4d-lung' or 'Qin Lung Ct' datasets.
• Developing algorithms for prostate cancer detection using MRI data from the 'Qin Prostate Repeatability' collection.
• Benchmarking model performance on the multi-organ segmentation tasks provided by the 'MSD' (Medical Segmentation Decathlon) dataset.
• Conducting federated learning studies using diverse, pre-identified imaging sources like those from 'TCIA' (The Cancer Imaging Archive).

Strengths

• Index provides a centralized list of multiple established imaging datasets, reducing search time.
• References specific, known benchmark datasets like MSD and TCIA which are widely used in research.
• Maintained with a recent update in August 2024.

Limitations

• The index itself contains no actual image data, only references to external sources.
• No metadata on dataset size, patient counts, or class balance for the listed resources is provided.
• The scope and quality of each referenced dataset are variable and not assessed.

Provenance

Source

A GitHub repository by user 'linhandev'.

Collection Method

Curated list or index of publicly available medical imaging datasets.

Freshness

Last updated on 2024-08-15.