Technical Program

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MQ.PC: Image Segmentation I

Session Type: Poster
Time: Monday, September 23, 16:30 - 18:18
Location: Room 101 (1F) - Poster Area C
Session Chair: Shan Du, Lakehead University
 
 MQ.PC.1: 2.5D CONVOLUTION FOR RGB-D SEMANTIC SEGMENTATION
         Yajie Xing; Peking University
         Jingbo Wang; Peking University
         Xiaokang Chen; Peking University
         Gang Zeng; Peking University
 
 MQ.PC.2: DENSELY CONNECTED DEEP U-NET FOR ABDOMINAL MULTI-ORGAN SEGMENTATION
         Zhao-Hui Wang; Jiangsu University
         Zhe Liu; Jiangsu University
         Yu-Qing Song; Jiangsu University
         Yan Zhu; Jiangsu University
 
 MQ.PC.3: ACCURATE SEGMENTATION OF SYNAPTIC CLEFT WITH CONTOUR GROWING CONCATENATED WITH A CONVNET
         Shaobo Min; University of Science and Technology of China
         Xuejin Chen; University of Science and Technology of China
         Hongtao Xie; University of Science and Technology of China
         Zhengjun Zha; University of Science and Technology of China
         Guoqiang Bi; University of Science and Technology of China
         Feng Wu; University of Science and Technology of China
         Yongdong Zhang; University of Science and Technology of China
 
 MQ.PC.4: RESIDUAL U-NET FOR RETINAL VESSEL SEGMENTATION
         Di Li; Northwestern Polytechnical University
         Dhimas Arief Dharmawan; Nanyang Technological University
         Boon Poh Ng; Nanyang Technological University
         Susanto Rahardja; Northwestern Polytechnical University
 
 MQ.PC.5: SEGMENTATION OF LESION IN DERMOSCOPY IMAGES USING DENSE-RESIDUAL NETWORK WITH ADVERSARIAL LEARNING
         Wenli Tu; Wuhan University of Science and Technology
         Xiaoming Liu; Wuhan University of Science and Technology
         Wei Hu; Wuhan University of Science and Technology
         Zhifang Pan; Wenzhou Medical University
         Xin Xu; Wuhan University of Science and Technology
         Bo Li; Wuhan University of Science and Technology
 
 MQ.PC.6: A COMPOUND NEURAL NETWORK FOR BRAIN TUMOR SEGMENTATION
         Hang Zhao; Beijing University of Posts and Telecommunications
         Yucui Guo; Beijing University of Posts and Telecommunications
         Yujing Zheng; Beijing University of Civil Engineering and Architecture
 
 MQ.PC.7: ACNET: ATTENTION BASED NETWORK TO EXPLOIT COMPLEMENTARY FEATURES FOR RGBD SEMANTIC SEGMENTATION
         Xinxin Hu; Zhejiang University
         Kailun Yang; Zhejiang University
         Lei Fei; Zhejiang University
         Kaiwei Wang; Zhejiang University
 
 MQ.PC.8: DEEP U-NET REGRESSION AND HAND-CRAFTED FEATURE FUSION FOR ACCURATE BLOOD VESSEL SEGMENTATION
         Yasmin Kassim; University of Missouri-Columbia
         Olga Glinskii; University of Missouri-Columbia
         Vladislav Glinsky; University of Missouri-Columbia
         Virginia Huxley; University of Missouri-Columbia
         Giovanna Guidoboni; University of Missouri-Columbia
         Kannappan Palaniappan; University of Missouri-Columbia