报告题目：When histopathology meets artificial intelligence
报告人：HUIYU ZHOU教授
邀请人：金其余教授
摘要：Quantitative analysis of digital pathology has played an important role in clinical diagnosis and understanding of the underlying reasons for specific treatments being deployed. Histopathological slides provide a comprehensive view of individual diseases and their effects on human tissues, where automated analysis of histopathology imagery continuously attracts the attention of the machine learning community. In this talk, I will summarise our recent works in quantitative analysis of histopathology images. First of all, I introduce an efficient multi-scale approach for colorectal tumour segmentation. Our method applied a RGB color model and histogram distance for refining the region of interest extraction. We deployed random projection based L2-norm sparse representation to achieve satisfactory classification results. Secondly, we have proposed an unsupervised dual-channel representation learning model to deal with the challenges in color normalisation due to staining and scanning of histopathology images. Finally, we report a novel unsupervised deep learning method for stain separation, inspired by Non-Negative Matrix Factorisation (NMF) that decomposes the input image into a stain color matrix and a stain concentration matrix.
报告人简介：Prof. Huiyu Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China, and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom. Dr. Zhou currently is a full Professor at School of Computing and Mathematical Sciences, University of Leicester, United Kingdom. He has published over 600 peer-reviewed papers in the field. Dr. Zhou serves as the Editor-in-Chief of Recent Advances in Electrical & Electronic Engineering and Associate Editor of "IEEE Transaction on Human-Machine Systems", “IEEE Journal of Biomedical and Health Informatics”, “Pattern Recognition”, “PeerJ Computer Science” and “IEEE Access”, and Area Chair of ICRA, IJCAI and BMVC. His research work has been or is being supported by UK EPSRC, MRC, EU, Royal Society, Leverhulme Trust, Puffin Trust, Alzheimer’s Research UK, Invest NI and industry.
时间：2025年07月16日15:00-16:00
地点：创新北楼512
欢迎广大师生参加！
内蒙古大学数学科学学院
2025年7月14日
蒙ICP16002391号-1