A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-dataset (MedIMeta)

arXiv:2404.16000v1 Announce Type: cross
Abstract: While the field of medical image analysis has undergone a transformative shift with the integration of machine learning techniques, the main challenge of these techniques is often the scarcity of large, diverse, and well-annotated datasets. Medical images 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 …

abstract analysis arxiv challenge cs.cv cs.lg dataset datasets diverse domain easy format image images imaging integration machine machine learning machine learning techniques medical medical imaging meta parameters shift type while