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A Systematic Collection of Medical Image Datasets for Deep Learning
[article]
2021
arXiv
pre-print
The astounding success made by artificial intelligence (AI) in healthcare and other fields proves that AI can achieve human-like performance. However, success always comes with challenges. Deep learning algorithms are data-dependent and require large datasets for training. The lack of data in the medical imaging field creates a bottleneck for the application of deep learning to medical image analysis. Medical image acquisition, annotation, and analysis are costly, and their usage is constrained
arXiv:2106.12864v1
fatcat:bjzkgce2xvaexmb6cdznws7fye