WP-V1.V5.11

CDANet: Channel Split Dual Attention based CNN for Brain Tumor Classification in MR Images

Tapas Kumar Dutta, Indian Institute of Engineering Science and Technology, Shibpur, India; Deepak Ranjan Nayak, Malaviya National Institute of Technology Jaipur, India
Session:
Medical Image Analysis
Virtual Poster
Track:
Biomedical Signal Processing
Location:
Gather.Town 5
Presentation Time:
Wed, 5 Oct, 21:00 - 22:00 China Standard Time (UTC +8)
Wed, 5 Oct, 15:00 - 16:00 Central European Time (UTC +1)
Wed, 5 Oct, 13:00 - 14:00 UTC
Wed, 5 Oct, 09:00 - 10:00 Eastern Time (UTC -5)
Session Co-Chairs:
Jean-Christophe Pesquet, CentraleSupélec and Andrea Cavallaro, Queen Mary University of London and Rebecca Willett, University of Chicago
Presentation
Discussion
Resources
No resources available.
Session WP-V1.V5
WP-V1.V5.1: Estimating Brain Age with Global and Local Dependencies
Yanwu Yang, Xutao Guo, Zhikai Chang, Department of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, China, China; Chenfei Ye, Harbin Institute of Technology, Shenzhen, China, China; Yang Xiang, Haiyan Lv, Ting Ma, Pengcheng Laboratory, China
WP-V1.V5.2: COMPARING VECTOR FIELDS ACROSS SURFACES: INTEREST FOR CHARACTERIZING THE ORIENTATIONS OF CORTICAL FOLDS
Amine Bohi, Guillaume Auzias, Julien Lefèvre, Aix-Marseille University, France; Camille Noûs, Laboratoire Cogitamus, France
WP-V1.V5.3: LIGHTWEIGHT DUAL-DOMAIN NETWORK FOR REAL-TIME MEDICAL IMAGE SEGMENTATION
Libo Liu, Qingmao Hu, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China, China; Xinxin Fan, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; University of Chinese Academy of Sciences, Beijing, China, China; Xiaodong Zhang, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, China
WP-V1.V5.4: SHUFFLE ATTENTION MULTIPLE INSTANCES LEARNING FOR BREAST CANCER WHOLE SLIDE IMAGE CLASSIFICATION
Cunqiao Hou, Wei Wang, Jianxin Zhang, Dalian Minzu University, China; Qiule Sun, Dalian University of Technology, China
WP-V1.V5.5: TASK-DRIVEN SELF-SUPERVISED BI-CHANNEL NETWORKS LEARNING FOR DIAGNOSIS OF BREAST CANCERS WITH MAMMOGRAPHY
Ronglin Gong, Shihui Ying, Jun Shi, Shanghai University, China
WP-V1.V5.6: SEMI-SUPERVISED 3D MEDICAL IMAGE SEGMENTATION VIA BOUNDARY-AWARE CONSISTENT HIDDEN REPRESENTATION LEARNING
Linhu Liu, Jiang Tian, Xiangqian Cheng, Zhongchao Shi, Jianping Fan, Yong Rui, Lenovo Research, China
WP-V1.V5.7: REGIONAL SALIENCY MAP ATTACK FOR MEDICAL IMAGE SEGMENTATION
Pei Yang, University of Electronic Science and Technology of China, China; Huan Wang, Tsinghua University, China
WP-V1.V5.8: Iterative Seeded Region Growing for Brain Tissue Segmentation
Ke Zhang, Fei Wu, Junxiao Sun, Guanyu Yang, Huazhong Shu, Youyong Kong, Southeast University, China
WP-V1.V5.9: BGSNET: BIDIRECTIONAL-GUIDED SEMI-3D NETWORK FOR PREDICTION OF HEMATOMA EXPANSION
Qin Wan, Zhuo Kuang, Li Yu, School of Huazhong University of Science and Technology, China; Xianbo Deng, Tongji Medical College, Huazhong University of Science and Technology, China
WP-V1.V5.10: PET/CT CO-SEGMENTATION BASED ON HYBRID ACTIVE CONTOUR MODEL
Chuangbo Jiang, Shenhai Zheng, Laquan Li, Chongqing University of Posts and Telecommunications, China
WP-V1.V5.11: CDANet: Channel Split Dual Attention based CNN for Brain Tumor Classification in MR Images
Tapas Kumar Dutta, Indian Institute of Engineering Science and Technology, Shibpur, India; Deepak Ranjan Nayak, Malaviya National Institute of Technology Jaipur, India
WP-V1.V5.12: YOLO-SG: Salience-Guided Detection of Small Objects in Medical Images
Rong Han, Xiaohong Liu, Ting Chen, Tsinghua University, China