Artificial Intelligence Techniques in Health Informatics for Oral Cancer Detection
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-97929-4_11
Reference48 articles.
1. Kim DW, Lee S et al (2019) Deep learning based survival prediction of oral cancer patients. Sci Rep 9(6994):2019. https://doi.org/10.1038/s41598-019-43372-7
2. Huang S, Yang J, Fong S, Zhao Q (2020) Artificial intelligence in cancer diagnosis and prognosis: opportunities and challenges. Cancer Lett 471:61–71. https://doi.org/10.1016/j.canlet.2019.12.007
3. Kim K-Y, Li S-J, Cha I-H (2010) Nomogram for predicting survival for oral squamous cell carcinoma. Genomics Inform 8:212–218. https://doi.org/10.5808/GI.2010.8.4.2122010
4. Da Silva SD, Alaoui-Jamali MA et al (2014) TWIST1 is a molecular marker for a poor prognosis in oral cancer and represents a potential therapeutic target. Prognostic-therapeutic impact of TWIST1. Cancer 120:352–62. https://doi.org/10.1002/cncr.28404
5. Ray C, Kumar Tripathy H, Mishra S (2019) Assessment of autistic disorder using machine learning approach. In: International conference on intelligent computing and communication. Springer, Singapore, pp 209–219
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