报告题目：Computer Aided Diagnosis of Melanoma and Progresses
                 黑色素瘤的计算机辅助诊断与进展
报告人: Yu Zhou博士（英国University of Central Lancashire）
时间: 2017年6月7日（周三）上午11:00
地点: 1066vip威尼斯延长校区电机楼201会议室
报告摘要：
While many types of cancer are treatable at an early stage, advanced ones are widely known as notoriously dangerous, particularly for melanoma. Computer aided diagnosis of melanoma studies the clinical diagnosis process and aims for building a smart computer capable of diagnosing automatically, or at least giving an independent and valuable 3rd party opinion to assist the clinical practices.
In this presentation, I will talk about the 3D device we developed in our lab and shed light on a few technical aspects of the system, including photometric stereo, 3D texture analysis, ensemble classifier etc.
I will also cover the latest advances in this area.
       早期的肿瘤容易治愈，但晚期的肿瘤却会危及生命，特别是黑色素瘤。针对黑色素瘤的早期诊断，开发了一套智能计算设备以实现对黑色素瘤的临床自动诊断，其阶段性目标是可以在临床上提供独立、高可靠性的第三方意见，以辅助临床诊断治疗。
讲座将围绕我们开发的一套黑色素瘤诊断设备展开，包括其中的技术实现方法如光度立体视觉、3D纹理构建，集成分类器等等。
讲座也会涉及黑色素瘤计算机辅助诊断的最新进展。

报告人简介:
Dr Zhou currently works in the University of Central Lancashire, UK, as a lecturer (tenure) since 2013. He is an active researcher in computer aided diagnosis, signal processing and embedded real-time systems. He has authored more than 20 peer-reviewed papers in the inter-disciplinary field of medicine -engineering.
Dr Zhou completed his PhD study in 2010 thanks to his work on developing the 1st ergonomic and portable photometric stereo device for computer aided diagnosis of skin cancer. He then spent nearly three years in the University of Leeds, working on a few exciting projects such as high-throughput online monitoring of crystallization processes in 3D and digital pathology for the artificial cartilage group.  
He is a member of IET and serving as editor and reviewer for a number of international journals.
       周宇博士现任教于英国兰开夏大学工程系。从2013年起，任讲师。研究范围包括计算机辅助诊断、信号处理和嵌入式实时系统。在相关领域，发表了20余篇高水平文章。
凭借在开发首个基于光度立体视觉的皮肤癌计算机辅助诊断系统中的创造和贡献，于2010年获得西英格兰大学授予的博士学位。其后周博士在英国利兹大学开展了近3年的博士后研究，包括对结晶反应过程的高通量在线3D监控，数字病理学辅助人工关节研究等。
       周博士现在是IET会员，也为部分国际刊物担任审稿人和编委。