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Artificial intelligence-based 5-year survival prediction and prognosis of DNp73 expression in rectal cancer patients
Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia.
Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Örebro University, School of Medical Sciences.ORCID iD: 0000-0003-1834-1578
Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
2020 (English)In: Clinical and translational medicine, ISSN 2001-1326, Vol. 10, no 4, article id e159Article in journal, Letter (Refereed) Published
Place, publisher, year, edition, pages
John Wiley & Sons, 2020. Vol. 10, no 4, article id e159
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Cancer and Oncology
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URN: urn:nbn:se:oru:diva-85743DOI: 10.1002/ctm2.159ISI: 000570862000017PubMedID: 32898334OAI: oai:DiVA.org:oru-85743DiVA, id: diva2:1469924
Available from: 2020-09-23 Created: 2020-09-23 Last updated: 2024-03-05Bibliographically approved

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Zhang, Hong

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