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 |