Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs. (arXiv:2209.15314v1 [cs.CV])

As deep networks require large amounts of accurately labeled training data, a
strategy to collect sufficiently large and accurate annotations is as important
as innovations in recognition methods. This is especially true for building
Computer Aided Detection (CAD) systems for chest X-rays where domain expertise
of radiologists is required to annotate the presence and location of
abnormalities on X-ray images. However, there lacks concrete evidence that
provides guidance on how much resource to allocate for data annotation such
that the …

annotation arxiv computer cost deep learning detection