郑州大学河南省智能健康信息系统国际联合实验室，特别邀请了英国莱斯特大学张煜东教授到管理学院进行题为《Deep Learning for Medical Image Analysis》的高端学术演讲与互动交流，演讲主要讨论深度学习如何应用于医学影像分析、从而识别图像大数据中自动特区隐含的疾病诊断特征。有相关科研经验的老师以及有科研兴趣或进一步深造意向的同学们积极参加。

时间：2023年9月18日（周一）16：00pm-17：30pm，地点：管理学院1号楼109会议室（导播室）。

演讲题目：《Deep Learning for Medical Image Analysis》

内容概要：The field of medical image analysis has witnessed remarkable advancements in recent years, largely attributed to the incredible potential of deep learning theories and techniques. This talk aims to provide an overview of our group’s advancements of deep learning in medical image analysis. The talk will begin with an introduction to deep learning and its vital networks, such as convolutional neural network, advanced pooling networks, graph convolutional networks, attention neural networks, weakly supervised networks, vision transformers, etc. We will explore how these neural networks can be tailored and applied to various medical imaging modalities, including magnetic resonance imaging, computed tomography, and histopathology slides. Furthermore, we will discuss the challenges faced in medical image analysis, such as limited labelled data, class imbalance, and interpretability, and delve into the theories and techniques employed to mitigate these issues.