Tu.3.3.2
BESEGNET: A BONE EROSION SEGMENTATION NETWORK FOR RHEUMATOID ARTHRITIS IN CONVENTIONAL RADIOGRAPHY
Songxiao Yang, Institute of Science Tokyo; Haolin Wang, Tamotsu Kamishima, Masayuki Ikebe, Yafei Ou, Hokkaido University; Masatoshi Okutomi, Institute of Science Tokyo
Session:
Tu.3.3: Segmentation Across Clinical Applications Oral
Track:
Biomedical Imaging and Image Processing
Location:
Room 716B
Presentation Time:
Tuesday, 28 July, 14:45 - 15:00
Session Co-Chairs:
Andrew Laine and Jonghye Woo
Presentation
Discussion
Resources
No resources available.
Session Tu.3.3
Tu.3.3.1: DT-MILNET: A NON-INVASIVE SCOLIOSIS SCREENING MODEL FOR IMBALANCED SAMPLE DISTRIBUTIONS
Jinglong Chen, Liangze Tao, Can Bu, Southeast University; Hongyao Liu, City University of Hong Kong; GuoBao Zhang, Southeast University; Zhiyuan Yang, Tianjin University of Sport; YongMing Huang, Southeast University
Tu.3.3.2: BESEGNET: A BONE EROSION SEGMENTATION NETWORK FOR RHEUMATOID ARTHRITIS IN CONVENTIONAL RADIOGRAPHY
Songxiao Yang, Institute of Science Tokyo; Haolin Wang, Tamotsu Kamishima, Masayuki Ikebe, Yafei Ou, Hokkaido University; Masatoshi Okutomi, Institute of Science Tokyo
Tu.3.3.3: Enhanced Thyroid Nodule Segmentation Using Focused-Image Attention and Depth Attenuation Aware Loss Re-balancing
Mizanu Degu, Shrimanti Ghosh, Abhilash Hareendranathan, University of Alberta
Tu.3.3.4: AP-MAMBA: ANATOMY-AWARE STATE SPACE MODELS FOR MULTI-ORGAN ABDOMINAL MRI SEGMENTATION
Hekai Wang, University of Chinese Academy of Sciences; Xingyang Wu, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Isah Salim Ahmad, Shenzhen University of Advanced Technology General Hospital; Shuo Zhou, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Zhao Liao, Caijin Zhou, Shenzhen University of Advanced Technology General Hospital; Yihang Zhou, Dong Liang, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Zhanqi Hu, Shenzhen University of Advanced Technology General Hospital; Haifeng Wang, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
Tu.3.3.5: AttnUNet-3D: Attention-Guided Pancreatic Tumor Segmentation with Foreground Cropping
Aman Desai, IIT MADRAS ZANZIBAR CAMPUS; RITIKA JAIN, IIT GUWAHATI
Tu.3.3.6: A Four-Phase Cascaded Framework for Automated GTVp Segmentation in Oropharyngeal Cancer Using CT-only Images
Huaicheng He, Chongqing University; Shan Ling, Hangzhou Institute of Medicine Chinese Academy of Sciences; Haixuan Yan, Chongqing University; Yuxuan Pan, University of Waterloo; Ziru Wang, Yaoyao Liu, Jie Yang, Chongqing University
Resources
No resources available.