139 citations · 701 across the 36 of their papers we have counts for
12 papers · 1 filter
TEC-Net: Vision Transformer Embrace Convolutional Neural Networks for Medical Image Segmentation
Rui Sun, Tao Lei, Weichuan Zhang +3
The hybrid architecture of convolution neural networks (CNN) and Transformer has been the most popular method for medical image segmentation. However, the existing networks based o…
Boundary-Aware Network for Abdominal Multi-Organ Segmentation
Shishuai Hu, Zehui Liao, Yong Xia
Automated abdominal multi-organ segmentation is a crucial yet challenging task in the computer-aided diagnosis of abdominal organ-related diseases. Although numerous deep learning…
Boundary-Aware Network for Kidney Parsing
Shishuai Hu, Yiwen Ye, Zehui Liao +1
Kidney structures segmentation is a crucial yet challenging task in the computer-aided diagnosis of surgery-based renal cancer. Although numerous deep learning models have achieved…
Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis
Shishuai Hu, Zehui Liao, Yong Xia
Carotid vessel wall segmentation is a crucial yet challenging task in the computer-aided diagnosis of atherosclerosis. Although numerous deep learning models have achieved remarkab…
HNF-Netv2 for Brain Tumor Segmentation using multi-modal MR Imaging
Haozhe Jia, Chao Bai, Weidong Cai +2
In our previous work, , HNF-Net, high-resolution feature representation and light-weight non-local self-attention mechanism are exploited for brain tumor segmentation using m…
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation
Shishuai Hu, Zehui Liao, Jianpeng Zhang +1
The domain gap caused mainly by variable medical image quality renders a major obstacle on the path between training a segmentation model in the lab and applying the trained model…
Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction
Zehui Liao, Yutong Xie, Shishuai Hu +1
Lung nodule malignancy prediction is an essential step in the early diagnosis of lung cancer. Besides the difficulties commonly discussed, the challenges of this task also come fro…
H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task
Haozhe Jia, Weidong Cai, Heng Huang +1
In this paper, we propose a Hybrid High-resolution and Non-local Feature Network (H2NF-Net) to segment brain tumor in multimodal MR images. Our H2NF-Net uses the single and cascade…
Inter-slice Context Residual Learning for 3D Medical Image Segmentation
Jianpeng Zhang, Yutong Xie, Yan Wang +1
Automated and accurate 3D medical image segmentation plays an essential role in assisting medical professionals to evaluate disease progresses and make fast therapeutic schedules.…
Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation
Yicheng Wu, Chengwei Pan, Shuqi Wang +3
Analyzing the morphological attributes of blood vessels plays a critical role in the computer-aided diagnosis of many cardiovascular and ophthalmologic diseases. Although being ext…
Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection
Jianpeng Zhang, Yutong Xie, Guansong Pang +8
Cluster of viral pneumonia occurrences during a short period of time may be a harbinger of an outbreak or pandemic, like SARS, MERS, and recent COVID-19. Rapid and accurate detecti…
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation
Yongjin Zhou, Weijian Huang, Pei Dong +2
Assessing the location and extent of lesions caused by chronic stroke is critical for medical diagnosis, surgical planning, and prognosis. In recent years, with the rapid developme…