"Name that manufacturer". Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT

As interest in applying machine learning techniques for medical images continues to grow at a rapid pace, models are starting to be developed and deployed for clinical applications. In the clinical AI model development lifecycle (described by Lu et al. [1]), a crucial phase for machine learning scientists and clinicians is the proper design and collection of the data cohort... (read more)

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