论文标题
比较基于乳房疾病的基于热力计图像的诊断的结果
Comparing Results of Thermographic Images Based Diagnosis for Breast Diseases
论文作者
论文摘要
本文研究了红外（IR）成像在乳房疾病检测中的潜在贡献。它使用一些算法检测到恶性乳房状况（例如支持向量机（SVM））在应用于公共数据时的一致性方面比较了结果。此外，为了利用实际IR成像的能力作为临床试验的补充，并使用高分辨率IR成像促进研究，我们认为使用由培训的乳房医生确信的公共数据库是必不可少的。在我们的工作中，只有静态获取协议才被考虑。我们使用了来自Pro Engenharia（Proeng）公共数据库的LO2 IR单乳房图像（54个正常和48个发现）。这些图像是从联邦De Pernambuco大学（UFPE）大学医院收集的。我们采用了作者提出的相同功能，这些功能使用顺序最小优化（SMO）分类器提出了最佳结果，并获得了61.7％的准确性，而Youden指数为0.24。
This paper examines the potential contribution of infrared (IR) imaging in breast diseases detection. It compares obtained results using some algorithms for detection of malignant breast conditions such as Support Vector Machine (SVM) regarding the consistency of different approaches when applied to public data. Moreover, in order to avail the actual IR imaging's capability as a complement on clinical trials and to promote researches using high-resolution IR imaging we deemed the use of a public database revised by confidently trained breast physicians as essential. Only the static acquisition protocol is regarded in our work. We used lO2 IR single breast images from the Pro Engenharia (PROENG) public database (54 normal and 48 with some finding). These images were collected from Universidade Federal de Pernambuco (UFPE) University's Hospital. We employed the same features proposed by the authors of the work that presented the best results and achieved an accuracy of 61.7 % and Youden index of 0.24 using the Sequential Minimal Optimization (SMO) classifier.
