Convolutional neural networks versus radiologists in characterization of small hypoattenuating hepatic nodules on CT: a critical diagnostic challenge in staging of colorectal carcinoma

Our objective was to compare the diagnostic performance and diagnostic confidence of convolutional neural networks (CNN) to radiologists in characterizing small hypoattenuating hepatic nodules (SHHN) in colorectal carcinoma (CRC) on CT scans. Retrospective review of CRC CT scans over 6-years yielded...

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Detalles Bibliográficos
Autores principales: Khalili, Korosh, Lawlor, Raymond L., Pourafkari, Marina, Lu, Hua, Tyrrell, Pascal, Kim, Tae Kyoung, Jang, Hyun-Jung, Johnson, Sarah A., Martel, Anne L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499427/
https://www.ncbi.nlm.nih.gov/pubmed/32943654
http://dx.doi.org/10.1038/s41598-020-71364-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499427/
https://www.ncbi.nlm.nih.gov/pubmed/32943654
http://dx.doi.org/10.1038/s41598-020-71364-5

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