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MedMNIST Medical Image Dataset
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* This dataset supports online use.Click here to jump.
MedMNIST was released by Shanghai Jiao Tong University on October 28, 2020. It is a collection of 10 public medical datasets, containing a total of 450,000 28*28 medical multimodal image data, which can be used to solve problems related to medical image analysis.
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MedMNIST has the following characteristics:
Educational:The multimodal data comes from multiple public medical image datasets and uses the Creative Commons (CC) license agreement to facilitate teaching use.
standardization:All data has been preprocessed into the same format, lowering the entry barrier and making it available to anyone.
Diversity:The multimodal dataset covers different data modes, supports data sizes ranging from 100 to 100,000, and has rich task types such as binary classification, multivariate classification, ordinal regression, and multi-label.
Lightweight:The 28*28 image size facilitates rapid prototyping, fast iteration and experimentation of multimodal machine learning and AutoML algorithms.
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