Breast cancer is the most regularly diagnosed type and the leading cause of cancer mortality among women. Ultrasound imaging has become the prioritized choice of imaging exams and preoperative evaluation of breast lumps. Recently, with the development of artificial intelligence and computer vision, a great effort has been directed toward developing computerized methods that can assist radiologists in making breast cancer diagnoses. Identification and classification of ultrasound images are challenging due to a lack of data because of privacy issues; furthermore, labeling data waste many resources given the variability of data among patients and equipment. This talk will introduce some of our recent work in ultrasound imaging analysis, including multimodal fusing, small sample problems in medical images, ultrasound segmentation method under noisy annotations, etc. And we will discuss some directions that are worthy of further studies.
Director, Software Engineering department
School of Computing and Artificial Intelligence
Southwest Jiaotong University
Owner of 10 Chinese invention patent grants
Awardee of the CCBR 2021 for Best Reviewers
Xun Gong is a professor, director of the Software Engineering department at the School of Computing and Artificial Intelligence, Southwest Jiaotong University. He received his B.S degree in computer science and technology from the Beijing Technology and Business University in 2003. He received the Ph.D. degree in computer science and technology from Southwest Jiaotong University (SWJTU, China) in 2008. He was a visiting scholar of Alberta University, Canada (2015), Louisiana State University, U.S. (2018.7-2019.2). His research interests include pattern recognition, computer vision, medical image processing, and deep learning.
He has received 10 Chinese invention patent grants, and published over 60 papers (including IEEE Transactions on Multimedia, Computer Graphics Forum, Computer Methods and Programs in Biomedicine, Journal of Visual Communication and Image Representation, etc.), and edited one book titled "Human face cognition, from 2D to 3D"(Science Press, Nov. 2011). He is a member of IEEE, a senior member of CCF, served as Session Chair of ICMLC 2021, Program Committee member of AAAI2022, CCBR (2019-2021), ISKE(2015-2021), etc. He was rewarded as one of the best reviewers of CCBR 2021. He is a reviewer of IJCIS, ACTA AUTOMATICA SINIC, TMM, Chinese Journal of Electronics, etc.
