ICIP 2017 | 2017 IEEE International Conference on Image Processing | 17-20 September 2017 | Beijing, China
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WP-L3: Biomedical Image Segmentation I

Session Type: Lecture
Time: Wednesday, September 20, 14:00 - 16:00
Location: Room 307B
Session Chair: Chunming Li, University of Electronic Science and Technology of China
 
  WP-L3.1: FULLY CONNECTED CRF WITH DATA-DRIVEN PRIOR FOR MULTI-CLASS BRAIN TUMOR SEGMENTATION
         Haocheng Shen; University of Dundee
         Jianguo Zhang; University of Dundee
 
  WP-L3.2: SEGMENTATION OF DERMOSCOPY IMAGES BASED ON FULLY CONVOLUTIONAL NEURAL NETWORK
         Zilin Deng; Beihang University
         Haidi Fan; Beihang University
         Fengying Xie; Beihang University
         Yong Cui; China-Japanese Friendship Hospital
         Jie Liu; Chinese Academy of Medical Sciences and Peking Union Medical College
 
  WP-L3.3: MASS SEGMENTATION IN MAMMOGRAMS: A CROSS-SENSOR COMPARISON OF DEEP AND TAILORED FEATURES
         Jaime Cardoso; INESC TEC and University of Porto
         Nuno Marques; INESC TEC
         Neeraj Dhungel; The University of British Columbia
         Gustavo Carneiro; ACVT, The University of Adelaide
         Andrew Bradley; ITEE, The University of Queensland
 
  WP-L3.4: PATCH-BASED FULLY CONVOLUTIONAL NEURAL NETWORK WITH SKIP CONNECTIONS FOR RETINAL BLOOD VESSEL SEGMENTATION
         Zhongwei Feng; Shanghai Jiao Tong University
         Jie Yang; Shanghai Jiao Tong University
         Lixiu Yao; Shanghai Jiao Tong University
 
  WP-L3.5: FAST AND ACCURATE SEGMENTATION OF THE LV IN MR VOLUMES USING A DEFORMABLE MODEL WITH DYNAMIC PROGRAMMING
         Carlos Santiago; Instituto Superior Técnico
         Jacinto C. Nascimento; Instituto Superior Técnico
         Jorge S. Marques; Instituto Superior Técnico
 
  WP-L3.6: INNER CELL MASS SEGMENTATION IN HUMAN HMC EMBRYO IMAGES USING FULLY CONVOLUTIONAL NETWORK
         Shakiba Kheradmand; Simon Fraser University
         Amarjot Singh; University of Cambridge
         Parvaneh Saeedi; Simon Fraser University
         Jason Au; Pacific Center for Reproductive Medicine
         Jon Havelock; Pacific Center for Reproductive Medicine