MedIMeta: An easy-to-use meta-dataset for medical imaging applications
Keywords: Dataset, Multi-Domain, Multi-Task
Abstract: Scarcity of large, diverse, and well-annotated datasets remains a challenge in medical image analysis. Medicalimages vary in format, size, and other parameters and therefore require extensive preprocessing and standardization for usage in machine learning. Addressing these challenges, we introduce the Medical Imaging Meta-Dataset (MedIMeta), a novel multi-domain, multi-task meta-dataset. MedIMeta contains 19 medical imaging datasets spanning 10 different domains and encompassing 54 distinct medical tasks, all of which are standardised to the same format and readily usable in PyTorch or other ML frameworks.
Submission Number: 173
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