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DECAL: DEployable Clinical Active Learning
[article]
2022
arXiv
pre-print
Conventional machine learning systems that operate on natural images assume the presence of attributes within the images that lead to some decision. However, decisions in medical domain are a resultant of attributes within medical diagnostic scans and electronic medical records (EMR). Hence, active learning techniques that are developed for natural images are insufficient for handling medical data. We focus on reducing this insufficiency by designing a deployable clinical active learning
arXiv:2206.10120v2
fatcat:lmhint7jy5bwdou53vnebs7dbm