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Artificial intelligence analysis of three-dimensional imaging data derives factors associated with postoperative recurrence in patients with radiologically solid-predominant small-sized lung cancers.
Kudo Y, Shimada Y, Matsubayashi J, Kitamura Y, Makino Y, Maehara S, Hagiwara M, Park J, Yamada T, Takeuchi S, Kakihana M, Nagao T, Ohira T, Masumoto J, Ikeda N. Kudo Y, et al. Among authors: yamada t. Eur J Cardiothorac Surg. 2022 Mar 24;61(4):751-760. doi: 10.1093/ejcts/ezab541. Eur J Cardiothorac Surg. 2022. PMID: 34940847
Prognostic impact of artificial intelligence-based volumetric quantification of the solid part of the tumor in clinical stage 0-I adenocarcinoma.
Kawaguchi Y, Shimada Y, Murakami K, Omori T, Kudo Y, Makino Y, Maehara S, Hagiwara M, Kakihana M, Yamada T, Park J, Matsubayashi J, Ohira T, Ikeda N. Kawaguchi Y, et al. Among authors: yamada t. Lung Cancer. 2022 Aug;170:85-90. doi: 10.1016/j.lungcan.2022.06.007. Epub 2022 Jun 11. Lung Cancer. 2022. PMID: 35728481
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