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An Advanced Design of Non-radioactive Image Capturing and Management System for Applications in Non-invasive Skin Disorder Diagnosis

机译:一种用于非侵入性皮肤疾病诊断的非放射性图像捕获和管理系统的高级设计

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Due to the increasing incidences of malignant melanoma, there is a rising demand for assistive technologies for its early diagnosis and improving the survival rate. The commonly used visual screening method is with limited accuracy as the early phase of melanoma shares many clinical features with an atypical nevus, while conventional dermoscopes are not user-friendly in terms of setup time and operations. Therefore, the development of an intelligent and handy system to assist the accurate screening and long-term monitoring of melanocytic skin lesions is crucial for early diagnosis and prevention of melanoma. In this paper, an advanced design of non-invasive and non-radioactive dermoscopy system was reported. Computer-aided simulations were conducted for optimizing the optical design and uniform illumination distribution. Functional prototype and the software system were further developed, which could enable image capturing at lOx amplified and general modes, convenient data transmission, analysis of dermoscopic features (e.g., asymmetry, border irregularity, color, diameter and dermoscopic structure) for assisting the early detection of melanoma, extract patient information (e.g. code, lesion location) and integrate with dermoscopic images, thus further support long term monitoring of diagnostic analysis results. A clinical trial study was further conducted on 185 Chinese children (0.18 years old). The results showed that for all subjects, skin conditions diagnosed based on the developed system accurately confirmed the diagnoses by conventional clinical procedures. Besides, clinical analysis on dermoscopic features and a potential standard approach by the developed system to support identifying specific melanocytic patterns for dermoscopic examination in Chinese children were also reported.
机译:由于恶性黑色素瘤的发病率增加,因此对其早期诊断和提高生存率的辅助技术的需求不断增长。由于黑素瘤的早期阶段具有许多非典型痣的临床特征,因此通常使用的视觉筛查方法的准确性有限,而传统的皮肤镜在设置时间和操作上并不友好。因此,开发一种智能,便捷的系统来协助黑素细胞性皮肤病变的准确筛查和长期监测对于黑色素瘤的早期诊断和预防至关重要。本文报道了一种先进的无创,非放射性皮肤镜系统设计。进行了计算机辅助仿真,以优化光学设计和均匀的照明分布。进一步开发了功能原型和软件系统,可以实现放大10倍的图像和常规模式下的图像捕获,方便的数据传输,皮肤镜特征(例如,不对称,边界不规则,颜色,直径和皮肤镜结构)分析,以帮助早期检测。黑色素瘤患者,提取患者信息(例如代码,病灶位置)并与皮肤镜图像整合,从而进一步支持对诊断分析结果的长期监控。对185名中国儿童(0.18岁)进行了进一步的临床试验研究。结果表明,对于所有受试者,根据发达系统诊断的皮肤状况均可以通过常规临床程序准确地确诊。此外,还报道了对皮肤镜特征的临床分析和开发的系统的潜在标准方法,以支持识别中国儿童皮肤镜检查的特定黑素细胞模式。

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