1 code implementation • 25 Mar 2024 • Jintong Hu, Hui Che, Zishuo Li, Wenming Yang
Ultrasound imaging is crucial for evaluating organ morphology and function, yet depth adjustment can degrade image quality and field-of-view, presenting a depth-dependent dilemma.
no code implementations • 5 Aug 2021 • Qin Wang, Hui Che, Weizhen Ding, Li Xiang, Guanbin Li, Zhen Li, Shuguang Cui
Thus, we propose a novel framework based on a teacher-student architecture for the accurate colorectal polyp classification (CPC) through directly using white-light (WL) colonoscopy images in the examination.
no code implementations • 27 Jul 2021 • Hui Che, Sumana Ramanathan, David Foran, John L Nosher, Vishal M Patel, Ilker Hacihaliloglu
With the success of deep learning-based methods applied in medical image analysis, convolutional neural networks (CNNs) have been investigated for classifying liver disease from ultrasound (US) data.
no code implementations • 3 Mar 2019 • Jun Li, Xiaozhu Lin, Hui Che, Hao Li, Xiaohua Qian
To alleviate these problems, we propose a probabilistic-map-guided bi-directional recurrent UNet (PBR-UNet) architecture, which fuses intra-slice information and inter-slice probabilistic maps into a local 3D hybrid regularization scheme, which is followed by bi-directional recurrent network optimization.