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

Session:
BISP-L5: Medical image detection and segmentation II Lecture

Track:
Biomedical Imaging and Signal Processing

Location:
Room 209A

Presentation Time:
Thu, 18 Apr, 13:10 - 13:30 (UTC +9)

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Presentation
Discussion
Resources
Session BISP-L5
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
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
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
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
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
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
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