内容

学术讲座:Deep-learning-based Approach for Medical Image Classifications

阅读数:101    发布:2018-07-11 16:51    

高小红教授讲座

时间:2018.07.17. 10:00-12:00

地点:计算机与软件学院413室

题目:Deep-learning-based Approach for Medical Image Classifications

摘要:After the success of Google Alpha Go, deep learning (DL) has become very well-known and dominated the  field of computer vision and image processing. While DL has achieved state of the art results in many domains, it still faces challenges in the medical realm. In this talk, I will discuss our recently work [1,2] on the application of DL to medical images. Specifically, the focus will be on the design of fused convolutional neural network architecture to overcome the shortage of datasets (in millions in the other domains) and to incorporate medical knowledge

专家简介:Prof. Xiaohong (Sharon) Gao obtained her PhD on Modelling of Colour Appearance in Loughborough University in 1994 and has since worked in varying imaging field, including Retinal Imaging in St Mary’s Hospital (Imperial College) and Addenbrooke’s Hospital (University of Cambridge). She joined Middlesex University in 1999 as a lecturer (later reader and professor) and has been working on computer vision and medical image fields.


深圳大学计算机与软件学院 2009-2016