课程号：CS206004

课程名：未来医学领域的智能检测与诊断

英文课程名：Reshaping the future of Medical Field with Artificial Intelligence based detection and diagnosis

开课单位：计算机科学与技术学院

授课教师：NOUMAN QADEER SOOMRO

责任教师：彭延国  

学分/学时：1学分/16学时

教师简介：Nouman Q. Soomro于2008年和2011年于MUET获得学士和硕士学位，2015年于北京理工大学获得工学博士学位。目前是巴基斯坦迈赫兰工程技术大学软件工程系系主任。是巴基斯坦工程委员会委员和专家。其主要研究兴趣点包括机器学、计算机视觉、医学成像等。其学术论文发表在高水平期刊上，包括：IEEE GRSL, Elesevier Signal Processing Image等。目前正在为超过4个我国际期刊和10个国际学术会议服务。Nouman Q. Soomro received both the B. Eng. and M. Eng. degrees in Software Engineering and Information Technology from the Mehran University of Engineering & Technology, Jamshoro, Pakistan, in 2008 and 2011 respectively, and the PhD degree in Computer Vision and Machine Learning from the Machine Learning and MultiMedia retrieval (MLMR), Department of Computer Science, Beijing Institute of Technology (BIT),China, in 2015. Currently, He is Assistant Professor and Head of department of Software Engineering, Mehran University of Engineering & Technology, SZAB Campus, Khairpur, Pakistan.

His major research interests include machine learning, Computer Vision, Medical Imaging, Remote sensing Image processing, pattern recognition, multimedia processing, and data science. He has widely published at highly ranked international journals such as IEEE GRSL, Elesevier Signal Processing Image communication among many others and international conferences. He has obtained several honors and awards such as secured funding from JST and University of Tokyo from Japanese Govt, Writer commendation from NBF, Govt: of Pakistan, PhD funding from Chinese scholarship council, various commendation from Radio Pakistan for promoting education among students. He is currently a Member of PEC (Pakistan Engineering Council) as well as a expert of PEC visiting accreditation team. He is serving with more than 4 international journals and more than 10 international conferences and workshops. He is also associate editor of more than two journals. Currently, he is leading efforts to transform the manual work to paperless environment.

课程简介：医疗领域的大数据和人工智能技术可以通过提升决策准确性节省数亿美元医疗开支。还可以实现近乎廉价的专业诊疗建议、高效的远程医疗服务和缓解医疗部门的负担等。在本课程中，我们将学习如何运用各种人工智能方法，从医学影像中侦测和诊断疾病。我们将详细讨论医学影像分类、x光影像分割、CT扫描等许多医学图像领域。最后，我们将讨论这些领域的性能和评估方法和评估策略设计准则。通过本课程的学习，学生能够较为系统的掌握未来医疗领域中的关键人工智能和大数据技术，并深刻理解未来医疗领域的发展趋势。

Big data and artificial intelligence in Medical field can save billions of dollars by improving decision-making, providing second opinion and even countless opinions without thinking of expenses, helping efficient delivery of medical services to remote areas and lessen the burden of over-burdened medical sector. In this course we will learn how various methods of artificial intelligence can be applied to detect and diagnose the diseases from medical images. In this course, we will discuss in detail about medical image classification, image segmentation for x-ray images, CT scans and many other areas. At the end, we will discuss the performance and evaluation methods to check the performance and accuracy of methods. Upon successful completion of the course,the students will be able to handle the core technologies of big data and artificial intelligence in medicine, and understand the future of inteligent medicine.

先修课程：无