BISP-P8.3
SAM-OCTA: A Fine-Tuning Strategy for Applying Foundation Model to OCTA Image Segmentation Tasks
Chengliang Wang, Xinrun Chen, Haojian Ning, Chongqing University, China; Shiying Li, Xiang’an Hospital of Xiamen University, China
Session:
BISP-P8: Medical image detection and segmentation-2 Poster
Track:
Biomedical Imaging and Signal Processing
Location:
Poster Zone 6B
Poster Board PZ-6B.3
Poster Board PZ-6B.3
Presentation Time:
Wed, 17 Apr, 16:30 - 18:30 (UTC +9)
Session BISP-P8
BISP-P8.1: FedSODA: Federated Cross-assessment and Dynamic Aggregation for Histopathology Segmentation
Yuan Zhang, Yaolei Qi, Xiaoming Qi, Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China; Lotfi Senhadji, Inserm, LTSI, UMR 1099, University of Rennes, France; Yongyue Wei, Public Health and Epidemic Preparedness and Response Center, Peking University, China; Feng Chen, Department of Biostatistics, School of Public Health, Nanjing Medical University, China; Guanyu Yang, Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China
BISP-P8.2: DEEP FUSION OF SHIFTED MLP AND CNN FOR MEDICAL IMAGE SEGMENTATION
Chengyu Yuan, Henan Normal University, China; Hao Xiong, Macquarie University, Australia; Guoqing Shangguan, Hualei Shen, Dong Liu, Henan Normal University, China; Haojie Zhang, Beijing Institute of Technology, China; Zhonghua Liu, Zhejiang Ocean University, China; Kun Qian, Bin Hu, Beijing Institute of Technology, China; Björn W. Schuller, Imperial College London, United Kingdom of Great Britain and Northern Ireland; Yoshiharu Yamamoto, The University of Tokyo, Japan; Shlomo Berkovsky, Macquarie University, Australia
BISP-P8.3: SAM-OCTA: A Fine-Tuning Strategy for Applying Foundation Model to OCTA Image Segmentation Tasks
Chengliang Wang, Xinrun Chen, Haojian Ning, Chongqing University, China; Shiying Li, Xiang’an Hospital of Xiamen University, China
BISP-P8.4: Self-supervised Cross-level Consistency Learning for Fundus Image Classification
Qi Bi, University of Amsterdam, Netherlands; Hao Zheng, Tencent Company, China; Xu Sun, Pazhou Lab, China; Jingjun Yi, Wuhan University, China; Wentian Zhang, Shenzhen University, China; Yawen Huang, Tencent Company, China; Yuexiang Li, Guangxi Medical University, China; Yefeng Zheng, Tencent Company, China
BISP-P8.5: OUT-OF-DISTRIBUTION DETECTION FOR LEARNING-BASED CHEST X-RAY DIAGNOSIS
Wenlong Chen, Chuanwen Feng, Ao Ke, Xike Xie, S Kevin Zhou, University of Science and Technology of China, China
BISP-P8.6: Efficient Polyp Segmentation Via Integrity Learning
Ziqiang Chen, Fudan University, Guangdong MedicineAI Technology Co., Ltd, China; Kang Wang, Yun Liu, Fudan University, China
BISP-P8.7: BREAST ULTRASOUND COMPUTER-AIDED DIAGNOSIS USING STRUCTURE-AWARE TRIPLET PATH NETWORKS
Erlei Zhang, Weihao Chen, Northwest A&F University, China; Xiaowei Xu, Guangdong Provincial People's Hospital, China; Zhicheng Zhang, JancsiTech, China; Jinglei Li, Guangdong Provincial People's Hospital, China
BISP-P8.8: PROGRESSIVE LEARNING BASED KNOWLEDGE DISTILLATION FOR LOW RESOLUTION CEREBRAL MICROBLEED SEGMENTATION
Tianxiang Xia, Rong Zhang, Zhenzuo Chen, Ningbo University, China; Guomin Xie, Xiping Wu, Zhongyue Lv, Ningbo Medical Center Li-Huili Hospital, China; Lijun Guo, Ningbo University, China
BISP-P8.9: PN-DetX: A Dedicated Framework for Pulmonary Nodule Detection in X-ray Images
Chenglin Liu, Binquan Wang, Zhi Wu, University of Science and Technology of China, China
BISP-P8.10: MODEL-BASED LABEL-TO-IMAGE DIFFUSION FOR SEMI-SUPERVISED CHOROIDAL VESSEL SEGMENTATION
Kun Huang, Xiao Ma, Nanjing University of Science and Technology, China; Na Su, Songtao Yuan, The First Affiliated Hospital with Nanjing Medical University, China; Qiang Chen, Nanjing University of Science and Technology, China
BISP-P8.11: Hybrid Module with Multiple Receptive Fields and Self-Attention Layers for Medical Image Segmentation
Wenbo Qi, Wenyong Zhou, Ngai Wong, S. C. Chan, The University of Hong Kong, Hong Kong
Contacts