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

Technical Program

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