How I failed machine learning in medical imaging -- shortcomings and recommendations. (arXiv:2103.10292v2 [eess.IV] UPDATED)

Web: http://arxiv.org/abs/2103.10292

Medical imaging is an important research field with many opportunities for
improving patients' health. However, there are a number of challenges that are
slowing down the progress of the field as a whole, such optimizing for
publication. In this paper we reviewed several problems related to choosing
datasets, methods, evaluation metrics, and publication strategies. With a
review of literature and our own analysis, we show that at every step,
potential biases can creep in. On a positive note, we also …

arxiv imaging learning machine machine learning medical medical imaging recommendations