Classification of oral lesions using deep learning for early detection of oral cancer

对于大多数癌症来说，早期发现可以提高生存率。口腔癌是少数几种可见的癌症之一，其中许多癌症之前有潜在的恶性病变，其中医疗干预可以预防癌症的发展。总之，口腔癌提供了早期发现的机会。然而，在没有专门培训的情况下，识别哪种口腔病变有成为口腔癌的倾向并不简单，而且这个问题由于缺乏受过这种专业知识培训的专家而变得混乱，特别是在低收入和中等收入国家，大多数口腔癌都是在那里诊断的。克服这一问题的一种创新方法是开发一种人工智能算法，将口腔病变分类为良性病变和潜在恶性或隐性癌症，以便患者可以相应地进行分类，以接受适当的临床管理。在这个项目中，我们建议在一个多学科的国际团队中工作，整理现有和潜在的图像库，这将有助于开发一种人工智能算法，并对其进行测试和验证。该项目的成果将为进一步严格的测试、开发包含该自动化工具的应用程序以及口腔癌早期检测的临床验证铺平道路。口腔病变分类的自动化工具的开发将有助于识别最有可能患口腔癌的患者，以便对这些患者进行适当的管理。该项目在低收入和中等收入国家特别有影响力，因为全球大部分口腔癌负担都在这些国家。

For the majority of cancers, early detection results in better survival. Oral cancer is one of the few cancers that is visible and many of these cancers are preceded by a potentially malignant lesion where medical intervention can prevent the development of cancer. Taken together, oral cancer presents an opportunity for early detection. However, identifying which oral lesion has a propensity to become oral cancer is not straightforward without specialised training and this problem is confounded by the lack of specialists who are trained in this expertise particularly in low- and middle-income countries, where the majority of oral cancers are diagnosed. One innovative approach to overcome this is to develop an artificial intelligence algorithm to classify oral lesions into those that are benign and those that are potentially malignant or are occult cancer so that patients can be triaged accordingly to receive appropriate clinical management. In this project, we propose to work within a multi-disciplinary, international team to collate a library of images from existing and prospective collections that will facilitate the development of an artificial intelligence algorithm that will be tested and validated. The outcome of this project will pave the way for further rigorous testing, development of an App incorporating this automated tool and clinical validation for the early detection of oral cancer. The development of an automated tool for the classification of oral lesions will facilitate the identification of patients most at risk to develop oral cancer so that these individuals can be managed appropriately. This project is particularly impactful in the low- and middle-income countries as the majority of the global burden of oral cancer is found in these countries.