WP1.PA: Machine Learning for Medical Image Segmentation II
Wed, 11 Oct, 14:30 - 16:00 Malaysia Time (UTC +8)
Location: Poster Area A
Session Type: Poster
Session Chair: Denis Kouamé, IRIT-N7
Track: Biomedical Signal Processing
Click the to view the manuscript on IEEE Xplore Open Preview
 

WP1.PA.2: A MULTI-SCALE CELL SEGMENTATION METHOD FOR DETECTING HEMATOLOGICAL DISORDERS

Yating Fang, Baojiang Zhong, Zikai Wang, Soochow University, China; Kai-Kuang Ma, Nanyang Technological University, Singapore
 

WP1.PA.3: Curriculum Knowledge Switching for Pancreas Segmentation

Yumou Tang, Kun Zhan, Zhibo Tian, Mingxuan Zhang, Saisai Wang, Xueming Wen, Lanzhou University, China
 

WP1.PA.5: SEGMENTATION OF THE LEFT VENTRICLE FOR THE CARDIAC PHASES BETWEEN END-DIASTOLE AND END-SYSTOLE

Behnam Rahmati, Shahram Shirani, Zahra Keshavarz-Motamed, McMaster University, Canada
 

WP1.PA.6: Segmentation of the Left Ventricle by SDD double threshold selection and CHT

Wenfei Zhang, Xiufeng Li, Zhenzhou Wang, Shandong University of Technology, China
 

WP1.PA.7: M3FPOLYPSEGNET: SEGMENTATION NETWORK WITH MULTI-FREQUENCY FEATURE FUSION FOR POLYP LOCALIZATION IN COLONOSCOPY IMAGES

Ju-Hyeon Nam, Seo-Hyeong Park, Nur Suriza Syazwany, Yerim Jung, Yu-Han Im, Sang-Chul Lee, Inha University, Korea, Republic of
 

WP1.PA.8: MIX-NET: AUTOMATIC SEGMENTATION OF COVID-19 CT IMAGES BASED ON PARALLEL DESIGN

Aimei Dong, Ruixin Wang, Guohua Lv, Guixin Zhao, Yi Zhai, Qilu University of Technology (Shandong Academy of Sciences), China
 

WP1.PA.9: 3D HIPPOCAMPUS SEGMENTATION USING A HOG BASED LOSS FUNCTION WITH MAJORITY POOLING

Arijit De, Jadavpur University, India; Mona Tiwari, Institute of Neurosciences, India; Ananda Chowdhury, Jadavpur University, India
 

WP1.PA.10: PYRAMID TRANSFORMER DRIVEN MULTIBRANCH FUSION FOR POLYP SEGMENTATION IN COLONOSCOPIC VIDEO IMAGES

Ao Wang, Ming Wu, Hao Qi, Xiamen University, China; Hong Shi, Jianhua Chen, Fujian Cancer Hospital, China; Yinran Chen, Xiongbiao Luo, Xiamen University, China
 

WP1.PA.11: VIDEO-SWINUNET: SPATIO-TEMPORAL DEEP LEARNING FRAMEWORK FOR VFSS INSTANCE SEGMENTATION

Chengxi Zeng, Xinyu Yang, University of Bristol, United Kingdom of Great Britain and Northern Ireland; David Smithard, Queen Elizabeth Hospital, United Kingdom of Great Britain and Northern Ireland; Majid Mirmehdi, Alberto Gambaruto, Tilo Burghardt, University of Bristol, United Kingdom of Great Britain and Northern Ireland
 

WP1.PA.12: FULLY AUTOMATIC CERVICAL VERTEBRAE SEGMENTATION VIA ENHANCED U2-NET

Fan Zhang, Linya Zheng, Yinran Chen, Xiamen University, China; Chen Lin, Liping Huang, Yuming Bai, Stomatological Hospital of Xiamen Medical College, China; Xiongbiao Luo, Xiamen University, China