论文标题
超越视觉图像：将临床图像特征与患者数据结合的色素皮肤病变的自动诊断
Beyond Visual Image: Automated Diagnosis of Pigmented Skin Lesions Combining Clinical Image Features with Patient Data
论文作者
论文摘要
亲属癌被认为是几个国家中最常见的癌症类型之一。由于皮肤病变的临床诊断方面的难度和主观性，正在开发计算机辅助诊断系统，以便辅助专家执行更可靠的诊断。皮肤病变的临床分析和诊断不仅取决于视觉信息，还取决于患者提供的上下文信息。这项工作解决了从智能手机捕获图像的色素皮肤病变检测的问题。除了从图像中提取的功能外，还收集了患者上下文信息，以提供更准确的诊断。实验表明，视觉特征与上下文信息的结合改善了最终结果。实验结果非常有希望，并且与专家相当。
kin cancer is considered one of the most common type of cancer in several countries. Due to the difficulty and subjectivity in the clinical diagnosis of skin lesions, Computer-Aided Diagnosis systems are being developed for assist experts to perform more reliable diagnosis. The clinical analysis and diagnosis of skin lesions relies not only on the visual information but also on the context information provided by the patient. This work addresses the problem of pigmented skin lesions detection from smartphones captured images. In addition to the features extracted from images, patient context information was collected to provide a more accurate diagnosis. The experiments showed that the combination of visual features with context information improved final results. Experimental results are very promising and comparable to experts.
