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[On the problem of the classification and course of painless myocardial infarct].

Kardiologiia

Mal'tsev LM.
PMID: 5806642
Kardiologiia. 1969 Jun;9(6):78-82.

No abstract available.

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Mal'tsev LM. K voprosu o klassifikatsii i techenii bezbolevykh infarktov miokarda. [On the problem of the classification and course of painless myocardial infarct]. Kardiologiia. 1969;9(6):78-82
Mal'tsev, L. M. (1969). K voprosu o klassifikatsii i techenii bezbolevykh infarktov miokarda. [On the problem of the classification and course of painless myocardial infarct]. Kardiologiia, 9(6), 78-82.
Mal'tsev, L M. "K voprosu o klassifikatsii i techenii bezbolevykh infarktov miokarda." [On the problem of the classification and course of painless myocardial infarct]. Kardiologiia vol. 9,6 (1969): 78-82.
Mal'tsev LM. K voprosu o klassifikatsii i techenii bezbolevykh infarktov miokarda. [On the problem of the classification and course of painless myocardial infarct]. Kardiologiia. 1969 Jun;9(6):78-82. Russian. PMID: 5806642.
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Deep Learning Predicts HPV Association in Oropharyngeal Squamous Cell Carcinomas and Identifies Patients with a Favorable Prognosis Using Regular H&E Stains.

Clinical cancer research : an official journal of the American Association for Cancer Research

Klein S, Quaas A, Quantius J, Löser H, Meinel J, Peifer M, Wagner S, Gattenlöhner S, Wittekindt C, von Knebel Doeberitz M, Prigge ES, Langer C, Noh KW, Maltseva M, Reinhardt HC, Büttner R, Klussmann JP, Wuerdemann N.
PMID: 33262137
Clin Cancer Res. 2021 Feb 15;27(4):1131-1138. doi: 10.1158/1078-0432.CCR-20-3596. Epub 2020 Dec 01.

PURPOSE: Human papillomavirus (HPV) in oropharyngeal squamous cell carcinoma (OPSCC) is tumorigenic and has been associated with a favorable prognosis compared with OPSCC caused by tobacco, alcohol, and other carcinogens. Meanwhile, machine learning has evolved as a powerful tool...

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Klein S, Quaas A, Quantius J, et al. Deep Learning Predicts HPV Association in Oropharyngeal Squamous Cell Carcinomas and Identifies Patients with a Favorable Prognosis Using Regular H&E Stains. Clin Cancer Res. 2020;27(4):1131-1138doi: 10.1158/1078-0432.CCR-20-3596.
Klein, S., Quaas, A., Quantius, J., Löser, H., Meinel, J., Peifer, M., Wagner, S., Gattenlöhner, S., Wittekindt, C., von Knebel Doeberitz, M., Prigge, E. S., Langer, C., Noh, K. W., Maltseva, M., Reinhardt, H. C., Büttner, R., Klussmann, J. P., & Wuerdemann, N. (2021). Deep Learning Predicts HPV Association in Oropharyngeal Squamous Cell Carcinomas and Identifies Patients with a Favorable Prognosis Using Regular H&E Stains. Clinical cancer research : an official journal of the American Association for Cancer Research, 27(4), 1131-1138. https://doi.org/10.1158/1078-0432.CCR-20-3596
Klein, Sebastian, et al. "Deep Learning Predicts HPV Association in Oropharyngeal Squamous Cell Carcinomas and Identifies Patients with a Favorable Prognosis Using Regular H&E Stains." Clinical cancer research : an official journal of the American Association for Cancer Research vol. 27,4 (2021): 1131-1138. doi: https://doi.org/10.1158/1078-0432.CCR-20-3596
Klein S, Quaas A, Quantius J, Löser H, Meinel J, Peifer M, Wagner S, Gattenlöhner S, Wittekindt C, von Knebel Doeberitz M, Prigge ES, Langer C, Noh KW, Maltseva M, Reinhardt HC, Büttner R, Klussmann JP, Wuerdemann N. Deep Learning Predicts HPV Association in Oropharyngeal Squamous Cell Carcinomas and Identifies Patients with a Favorable Prognosis Using Regular H&E Stains. Clin Cancer Res. 2021 Feb 15;27(4):1131-1138. doi: 10.1158/1078-0432.CCR-20-3596. Epub 2020 Dec 01. PMID: 33262137.
Copy Download .nbib Format: NLM
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