BIO-13.6
VISION TRANSFORMER-BASED RETINA VESSEL SEGMENTATION WITH DEEP ADAPTIVE GAMMA CORRECTION
Hyunwoo Yu, Jae-hun Shim, Jaeho Kwak, Jou won Song, Suk-Ju Kang, Sogang University, Korea, Republic of
Session:
Medical Image Segmentation II
Track:
Biomedical Imaging and Signal Processing
Location:
Gather Area N
Presentation Time:
Fri, 13 May, 20:00 - 20:45 China Time (UTC +8)
Fri, 13 May, 12:00 - 12:45 UTC
Fri, 13 May, 12:00 - 12:45 UTC
Session Co-Chairs:
Alex Frangi, and Jibin Wu, National University of Singapore
Session BIO-13
BIO-13.1: A NOVEL CONVOLUTIONAL NEURAL NETWORK BASED ON ADAPTIVE MULTI-SCALE AGGREGATION AND BOUNDARY-AWARE FOR LATERAL VENTRICLE SEGMENTATION ON MR IMAGES
Fei Ye, Kai Hu, Xiangtan University, China; Zhiqiang Wang, Sheng Zhu, Affiliated Hospital of Xiangnan University, China; Xuanya Li, Baidu Inc., China
BIO-13.2: Multiscale attention aggregation network for 2D vessel segmentation
Wentao Liu, Huihua Yang, Weijin Xu, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, China; Tong Tian, the State Key Laboratory of Structural Analysis for Industrial Equipment, School of Aeronautics and Astronautics, Dalian University of Technology, China; Xipeng Pan, the School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China, China
BIO-13.3: TCRNET: MAKE TRANSFORMER, CNN AND RNN COMPLEMENT EACH OTHER
Xinxin Shan, Tai Ma, Anqi Gu, Haibin Cai, Ying Wen, East China Normal University, China
BIO-13.4: DOUBLE NOISE MEAN TEACHER SELF-ENSEMBLING MODEL FOR SEMI-SUPERVISED TUMOR SEGMENTATION
Ke Zheng, Junhai Xu, Jianguo Wei, Tianjin University, China
BIO-13.5: RETHINKING COMPUTER-AIDED PELVIS SEGMENTATION
Siming Yuan, Qing Liu, Shenghui Liao, Fuchang Han, Central South University, China; Haitao Wei, Central South E3D Digital Medical and Virtual Reality Research Center, China; Yingqi Zhang, Tongji University, China
BIO-13.6: VISION TRANSFORMER-BASED RETINA VESSEL SEGMENTATION WITH DEEP ADAPTIVE GAMMA CORRECTION
Hyunwoo Yu, Jae-hun Shim, Jaeho Kwak, Jou won Song, Suk-Ju Kang, Sogang University, Korea, Republic of