2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
Login Paper Search My Schedule Paper Index Help

My ICASSP 2021 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)
Click on the icon to view the manuscript on IEEE XPlore in the IEEE ICASSP 2021 Open Preview.

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

BIO-6: Medical Image Segmentation

Session Type: Poster
Time: Wednesday, 9 June, 13:00 - 13:45
Location: Gather.Town
Session Chair: Jie Yang, Xiaodong University
 
   BIO-6.1: DFDM: A DEEP FEATURE DECOUPLING MODULE FOR LUNG NODULE SEGMENTATION
         Wei Chen; Chongqing University
         Qiuli Wang; Chongqing University
         Sheng Huang; Chongqing University
         Xiaohong Zhang; Chongqing University
         Yucong Li; Chongqing University
         Chen Liu; The First Affiliated Hospital of Army Medical University
 
   BIO-6.2: PYRAMID U-NET FOR RETINAL VESSEL SEGMENTATION
         Jiawei Zhang; Fudan University
         Yanchun Zhang; Victoria University
         Xiaowei Xu; Guangdong Provincial People's Hospital
 
   BIO-6.3: A PROBABILISTIC MODEL FOR SEGMENTATION OF AMBIGUOUS 3D LUNG NODULE
         Xiaojiang Long; Chongqing University
         Wei Chen; Chongqing University
         Qiuli Wang; Chongqing University
         Xiaohong Zhang; Chongqing University
         Chen Liu; The First Affiliated Hospital of Army Medical University
         Yucong Li; Chongqing University Cancer Hospital
         Jiuquan Zhang; Chongqing University Cancer Hospital
 
   BIO-6.4: SEMI-SUPERVISED SKIN LESION SEGMENTATION WITH LEARNING MODEL CONFIDENCE
         Zhiqiang Xie; Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University
         Enmei Tu; Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University
         Hao Zheng; Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University
         Yun Gu; Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University
         Jie Yang; Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University
 
   BIO-6.5: A HYBRID FEATURE ENHANCEMENT METHOD FOR GLAND SEGMENTATION IN HISTOPATHOLOGY IMAGES
         Xiangjiang Wu; Xiangtan University
         Xuanya Li; Baidu Inc.
         Kai Hu; Xiangtan University
         Zhineng Chen; Fudan University
         Xieping Gao; Xiangtan University
 
   BIO-6.6: AUTOMATED MULTI-ORGAN SEGMENTATION IN PET IMAGES USING CASCADED TRAINING OF A 3D U-NET AND CONVOLUTIONAL AUTOENCODER
         Annika Liebgott; University of Stuttgart
         Charlotte Lorenz; University of Stuttgart
         Sergios Gatidis; University Hospital of Tuebingen
         Viet Chau Vu; University Hospital of Tuebingen
         Konstantin Nikolaou; University Hospital of Tuebingen
         Bin Yang; University of Stuttgart