AI RESEARCH
MedAugment: Universal Automatic Data Augmentation Plug-in for Medical Image Analysis
arXiv CS.CV
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ArXi:2306.17466v5 Announce Type: replace-cross Data augmentation (DA) has been widely leveraged in computer vision to alleviate data shortage, while its application in medical imaging faces multiple challenges. The prevalent DA approaches in medical image analysis encompass conventional DA, synthetic DA, and automatic DA. However, these approaches may result in experience-driven design and intensive computation costs. Here, we propose a suitable yet general automatic DA method for medical images termed MedAugment.