BISP-L5: Medical image detection and segmentation II
Thu, 18 Apr, 13:10 - 15:10 (UTC +9)
Location: Room 209A
Session Type: Lecture
Track: Biomedical Imaging and Signal Processing
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Thu, 18 Apr, 13:10 - 13:30 (UTC +9)
 

BISP-L5.1: SINGLE-SOURCE DOMAIN GENERALIZATION IN FUNDUS IMAGE SEGMENTATION VIA MODERATING AND INTERPOLATING INPUT SPACE AUGMENTATION

Boon Peng Yap, Beng Koon Ng, Nanyang Technological University, Singapore, Singapore
Thu, 18 Apr, 13:30 - 13:50 (UTC +9)
 

BISP-L5.2: YOLO-MED : MULTI-TASK INTERACTION NETWORK FOR BIOMEDICAL IMAGES

Suizhi Huang, Shalayiding Sirejiding, Yuxiang Lu, Yue Ding, Shanghai Jiao Tong University, China; Leheng Liu, Hui Zhou, Shanghai General Hospital, China; Hongtao Lu, Shanghai Jiao Tong University, China
Thu, 18 Apr, 13:50 - 14:10 (UTC +9)
 

BISP-L5.3: IMPROVING LIMITED SUPERVISED FOOT ULCER SEGMENTATION USING CROSS-DOMAIN AUGMENTATION STRATEGIES

Shang-Jui Kuo, Po-Han Huang, Chia-Ching Lin, Jeng-Lin Li, Inventec Corporation, Taiwan; Ming-Ching Chang, University at Albany, State University of New York, United States of America
Thu, 18 Apr, 14:10 - 14:30 (UTC +9)
 

BISP-L5.4: FedKA: Federated Knowledge Augmentation for Multi-Center Medical Image Segmentation on Non-IID Data

Yuhao Zhang, Harbin Institute of Technology, Shenzhen, China; Shaoming Duan, Peng Cheng Laboratory, China; Xinyu Zha, Jinhang Su, Peiyi Han, Chuanyi Liu, Harbin Institute of Technology, Shenzhen, China
Thu, 18 Apr, 14:30 - 14:50 (UTC +9)
 

BISP-L5.5: LEARN FROM ZOOM: DECOUPLED SUPERVISED CONTRASTIVE LEARNING FOR WCE IMAGE CLASSIFICATION

Kunpeng Qiu, Zhiying Zhou, Yongxin Guo, National University of Singapore, Singapore
Thu, 18 Apr, 14:50 - 15:10 (UTC +9)
 

BISP-L5.6: GLAND SEGMENTATION VIA DUAL ENCODERS AND BOUNDARY-ENHANCED ATTENTION

Huadeng Wang, Guilin University of Electronic Technology, Guangxi Key Laboratory of Image and Graphic Intelligent Processing, China; jiejiang Yu, Guilin University of Electronic Technology, China; Bingbing Li, Ganzhou Municipal Hospital, China; Xipeng Pan, Zhenbing Liu, Rushi Lan, Xiaonan Luo, Guilin University of Electronic Technology, Guangxi Key Laboratory of Image and Graphic Intelligent Processing, China