BIO-11.5
LEARNING DEEP PATHOLOGICAL FEATURES FOR WSI-LEVEL CERVICAL CANCER GRADING
Ruixiang Geng, Qing Liu, Shuo Feng, Yixiong Liang, Central South University, China
Session:
Medical Image Analysis for Diagnosis
Track:
Biomedical Imaging and Signal Processing
Location:
Gather Area N
Presentation Time:
Thu, 12 May, 22:00 - 22:45 China Time (UTC +8)
Thu, 12 May, 14:00 - 14:45 UTC
Thu, 12 May, 14:00 - 14:45 UTC
Session Co-Chairs:
Farnoosh Naderkhani, Concordia University and Malu Zhang, University of Electronic Science and Technology of China
Session BIO-11
BIO-11.1: SELF-KNOWLEDGE DISTILLATION BASED SELF-SUPERVISED LEARNING FOR COVID-19 DETECTION FROM CHEST X-RAY IMAGES
Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan
BIO-11.2: PIXEL-LEVEL AND AFFINITY-LEVEL KNOWLEDGE DISTILLATION FOR UNSUPERVISED SEGMENTATION OF COVID-19 LESIONS
Rui Xu, Yufeng Wang, Xinchen Ye, Pengcheng Wu, Dalian University of Technology, China; Yen-Wei Chen, Ritsumeikan University, Japan; Fangyi Xu, Wenchao Zhu, Chao Chen, Yong Zhou, Hongjie Hu, Zhejiang University School of Medicine, China; Xiaofeng Qu, the Second Hospital of Dalian Medical University, China; Shoji Kido, Noriyuki Tomiyama, Osaka University, Japan
BIO-11.3: Data Shapley Value for Handling Noisy Labels: An application in Screening COVID-19 Pneumonia from Chest CT Scans
Nastaran Enshaei, Arash Mohammadi, Farnoosh Naderkhani, Concordia University, Canada; Moezedin Javad Rafiee, McGill University, Canada
BIO-11.4: Accurate Multiscale Selective Fusion of CT and Video Images for Real-Time Endoscopic Camera 3D Tracking in Robotic Surgery
Xiongbiao Luo, Xiamen University, China
BIO-11.5: LEARNING DEEP PATHOLOGICAL FEATURES FOR WSI-LEVEL CERVICAL CANCER GRADING
Ruixiang Geng, Qing Liu, Shuo Feng, Yixiong Liang, Central South University, China
BIO-11.6: SELECTIVE SCALE CASCADE ATTENTION NETWORK FOR BREAST CANCER HISTOPATHOLOGY IMAGE CLASSIFICATION
Bowen Xu, Wenqiang Zhang, Fudan University, China