Can Non-specialists Provide High Quality Gold Standard Labels in Challenging Modalities?
نویسندگان
چکیده
Probably yes.—Supervised Deep Learning dominates performance scores for many computer vision tasks and defines the state-of-the-art. However, medical image analysis lags behind natural applications. One of reasons is lack well annotated data available to researchers. first things researchers are told that we require significant expertise reliably accurately interpret label such data. We see inter- intra-observer variability between expert annotations images. Still, it a widely held assumption novice annotators unable provide useful use by clinical models. In this work challenge examine implications using minimally trained labelling workforce acquire complex dataset. study time cost annotators, raw compared gold-standard downstream effects on segmentation model’s detecting specific congenital heart disease (hypoplastic left syndrome) in fetal ultrasound imaging.
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ژورنال
عنوان ژورنال: Lecture Notes in Computer Science
سال: 2021
ISSN: ['1611-3349', '0302-9743']
DOI: https://doi.org/10.1007/978-3-030-87722-4_23