The use of hybrid classifier to assist in the diagnosis of lip lesions in thermal images: a preliminary study

机译：混合分类器在热图像中辅助诊断唇部病变的初步研究

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This research presents a methodology for the classification of actinic chelitis and lip cancer in thermal images. A hybrid classifier that uses two methods of supervised learning (SVM and KNN) to classify patient images into three groups: healthy, squamous cell carcinoma and actinic cheilitis (malignant potentially disorder) was developed. The classifier obtained results that were equivalent to the results of the biopsies of the patients, which proves the efficiency of the developed method and guarantees its use in a CAD system to assist in the diagnosis of actinic cheilitis and lip cancer.

机译：本研究提出了一种在热图像中分类光学性肾炎和唇癌的方法。一种混合分类器，其使用了两种监督学习（SVM和KNN）来将患者图像分为三组：健康，鳞状细胞癌和光化杂质炎（恶性潜在紊乱）开发。分类器获得的结果等同于患者的活组织检查结果，这证明了开发方法的效率，并保证了其在CAD系统中的用途，以协助诊断光化杂质炎和唇脑。

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《IEEE International Conference on Bioinformatics and Biomedicine》|2019年|1585-1588|共4页
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Jose Alberto Souza Paulino; Alanne Vandreia da Silva Alves; Robson Pequeno de Sousa; Katia Elizabete Galdino; Pollianna Muniz Alves; Eduardo Jorge Valadares Oliveira;
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biomedical optical imaging; cancer; image classification; learning (artificial intelligence); medical image processing; neural nets; support vector machines;

机译：生物医学光学成像;癌症;图像分类;学习（人工智能）;医学图像处理;神经网络;支持向量机;

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4. The use of hybrid classifier to assist in the diagnosis of lip lesions in thermal images: a preliminary study [C] . Jose Alberto Souza Paulino, Alanne Vandreia da Silva Alves, Robson Pequeno de Sousa, IEEE International Conference on Bioinformatics and Biomedicine . 2019

机译：混合分类器的使用以帮助在热图像中诊断唇部病变：初步研究
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The use of hybrid classifier to assist in the diagnosis of lip lesions in thermal images: a preliminary study

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