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Systematic review of research design and reporting of imaging studies applying convolutional neural networks for radiological cancer diagnosis
21
Zitationen
4
Autoren
2021
Jahr
Abstract
• Imaging studies applying convolutional neural networks (CNNs) for cancer diagnosis frequently omit key clinical information including eligibility criteria and population demographics. • Fewer than half of imaging studies assessed model performance on explicitly unobserved test data partitions. • Design and reporting standards have improved in CNN research for radiological cancer diagnosis, though many opportunities remain for further progress.
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