Predicting cutaneous malignant melanoma patients’ survival using deep learning: a retrospective cohort study
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Oncology,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00432-023-05421-7.pdf
Reference33 articles.
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2. Ali Z, Yousaf N, Larkin J (2013) Melanoma epidemiology, biology and prognosis. EJC Suppl 11(2):81–91. https://doi.org/10.1016/j.ejcsup.2013.07.012
3. Azzola MF, Shaw HM, Thompson JF, Soong S, Scolyer RA, Watson GF, Zhang Y (2003) Tumor mitotic rate is a more powerful prognostic indicator than ulceration in patients with primary cutaneous melanoma: an analysis of 3661 patients from a single center. Cancer 97:1488–1498 (reprinted)
4. Balch CM, Gershenwald JE, Soong S, Thompson JF, Ding S, Byrd DR, Sondak VK (2010) Multivariate analysis of prognostic factors among 2,313 patients with stage III melanoma: comparison of nodal micrometastases versus macrometastases. J Clin Oncol 28:2452–2459 (reprinted)
5. Barnhill RL, Katzen J, Spatz A, Fine J, Berwick M (2005) The importance of mitotic rate as a prognostic factor for localized cutaneous melanoma. J Cutan Pathol 32(4):268–273
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