An artificial intelligence-based model exploiting H&E images to predict recurrence in negative sentinel lymph-node melanoma patients
Author:
Funder
Ministero della Salute
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1186/s12967-024-05629-2.pdf
Reference43 articles.
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2. https://www.cancer.org/cancer/melanoma-skin-cancer/about/key-statistics.html#:~:text=Cancer%20of%20the%20skin%20is,majority%20of%20skin%20cancer%20deaths.
3. Gershenwald JE, Thompson W, Mansfield PF, et al. Multi-institutional Melanoma Lymphatic Mapping experience: the Prognostic Value of Sentinel Lymph Node Status in 612 stage I or II melanoma patients. J Clin Oncol. 1999;17:976–976. https://doi.org/10.1200/JCO.1999.17.3.976.
4. Hyams DM, Cook RW, Buzaid AC. Identification of risk in cutaneous melanoma patients: prognostic and predictive markers. J Surg Oncol. 2019;119:175–86. https://doi.org/10.1002/jso.25319.
5. Quaresmini D, Guida M. Neoangiogenesis in Melanoma: an issue in Biology and systemic treatment. Front Immunol. 2020;11. https://doi.org/10.3389/fimmu.2020.584903.
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