TP1.L306.1
CTI-UNET: HYBRID LOCAL FEATURES AND GLOBAL REPRESENTATIONS EFFICIENTLY
Haigen Hu, Zhichao Jin, Qianwei Zhou, Qiu Guan, Qi Chen, Zhejiang University of Technology, China
Session:
TP1.L306: Medical and Biological Image Analysis Lecture
Track:
Biomedical Signal Processing
Location:
Room 306
Presentation Time:
Tue, 10 Oct, 14:30 - 14:48 Malaysia Time (UTC +8)
Session Chair:
Xiongbiao Luo, Xiamen University
Session TP1.L306
TP1.L306.1: CTI-UNET: HYBRID LOCAL FEATURES AND GLOBAL REPRESENTATIONS EFFICIENTLY
Haigen Hu, Zhichao Jin, Qianwei Zhou, Qiu Guan, Qi Chen, Zhejiang University of Technology, China
TP1.L306.2: SELF ADAPTIVE GLOBAL-LOCAL FEATURE ENHANCEMENT FOR RADIOLOGY REPORT GENERATION
Yuhao Wang, Beijing University of Posts and Telecommunications, China; Kai Wang, Peking University, China; Xiaohong Liu, Tsinghua University, China; Tianrun Gao, Jingyue Zhang, Guangyu Wang, Beijing University of Posts and Telecommunications, China
TP1.L306.3: AUTOMATED DIAGNOSIS OF BREAST CANCER USING DEEP LEARNING-BASED WHOLE SLIDE IMAGE ANALYSIS OF MOLECULAR BIOMARKERS
Ahmed Aboudessouki, University of Louisville, United States of America; Khadiga Ali, Mansoura University, Egypt; Mohamed Elsharkawy, Ahmed Alksas, Ali Mahmoud, University of Louisville, United States of America; Fahmi Khalifa, Morgan State University, United States of America; Mohammed Ghazal, Jawad Yousaf, Hadil Abu Khalifeh, Abu Dhabi University, United Arab Emirates; Ayman El-Baz, University of Louisville, United States of America
TP1.L306.4: MACHINE LEARNING DETECTS A BIOPSY NEEDLE IN ULTRASOUND IMAGES
Agata Wijata, Jakub Nalepa, Silesian University of Technology, Poland
TP1.L306.5: A NOVEL WEAKLY SUPERVISED SEGMENTATION APPROACH FOR RAPID LEFT VENTRICLE ANNOTATION
Behnam Rahmati, Shahram Shirani, Zahra Keshavarz-Motamed, McMaster University, Canada
Contacts