Differences between human and machine perception in medical diagnosis

Abstract Deep neural networks (DNNs) show promise in image-based medical diagnosis, but cannot be fully trusted since they can fail for reasons unrelated to underlying pathology. Humans are less likely to make such superficial mistakes, since they use features that are grounded on medical science. I...

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Detalhes bibliográficos
Main Authors: Taro Makino, Stanisław Jastrzębski, Witold Oleszkiewicz, Celin Chacko, Robin Ehrenpreis, Naziya Samreen, Chloe Chhor, Eric Kim, Jiyon Lee, Kristine Pysarenko, Beatriu Reig, Hildegard Toth, Divya Awal, Linda Du, Alice Kim, James Park, Daniel K. Sodickson, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Portfolio 2022-04-01
Colecção:Scientific Reports
Acesso em linha:https://doi.org/10.1038/s41598-022-10526-z
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