使用机器学习(ML)技术进行癌症早期检测

T. Mahesh, Vinoth Kumar
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引用次数: 0

摘要

癌症疾病的早期发现导致快速治疗,降低发病率和死亡率的风险。口腔癌的诊断仍然是牙科事业的一个挑战,特别是在早期口腔疾病的定位、评估和审查方面。由于传统方法缺乏最佳分析,因此在早期阶段使用人工智能识别和分组口腔癌。人工智能技术用于显示危险地点的移动和治疗,并可能准确预测未来的疾病影响。人工智能技术用于显示危险地点的移动和治疗,并可能准确预测未来的疾病影响。专家人工智能和重点确定计算的结合在口腔癌的早期检测和预测方面产生了改进的结果。本审计研究的主要目标和承诺是总结人工智能技术在口腔恶性发展的准确早期预测中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Early Detection of Cancer using Machine Learning (ML) Techniques
Early detection of cancer sickness leads to rapid treatment, reducing the risk of morbidity and mortality. The diagnosis of oral cancer continues to be a challenge for dental careers, particularly in the location, evaluation, and review of early-stage oral disease. Due to the lack of optimal analysis using conventional methods, oral cancer is identified and grouped using AI at an early stage. AI techniques are used to show the movement and treatment of dangerous locations and may accurately predict future disease effects. AI techniques are used to show the movement and treatment of dangerous locations and may accurately predict future disease effects. A combination of expert AI and highlight determination calculations produces improved results in the early detection and forecast of oral cancer. The main goal and commitment of this audit study is to summarize the use of AI technologies for accurate early prediction of oral malignant development.
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