33 citations · 101 across the 8 of their papers we have counts for
8 papers · 1 filter
Elastic Boundary Projection for 3D Medical Image Segmentation
Tianwei Ni, Lingxi Xie, Huangjie Zheng +2
We focus on an important yet challenging problem: using a 2D deep network to deal with 3D segmentation for medical image analysis. Existing approaches either applied multi-view pla…
Phase Collaborative Network for Two-Phase Medical Image Segmentation
Huangjie Zheng, Lingxi Xie, Tianwei Ni +5
In real-world practice, medical images acquired in different phases possess complementary information, {\em e.g.}, radiologists often refer to both arterial and venous scans in ord…
Multi-Scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma
Zhuotun Zhu, Yingda Xia, Lingxi Xie +2
We propose an intuitive approach of detecting pancreatic ductal adenocarcinoma (PDAC), the most common type of pancreatic cancer, by checking abdominal CT scans. Our idea is named…
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion
Yan Wang, Yuyin Zhou, Wei Shen +3
Accurate and robust segmentation of abdominal organs on CT is essential for many clinical applications such as computer-aided diagnosis and computer-aided surgery. But this task is…
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound
Yan Wang, Yuyin Zhou, Peng Tang +3
Deep convolutional neural networks (CNNs), especially fully convolutional networks, have been widely applied to automatic medical image segmentation problems, e.g., multi-organ seg…
Joint Shape Representation and Classification for Detecting PDAC
Fengze Liu, Lingxi Xie, Yingda Xia +2
We aim to detect pancreatic ductal adenocarcinoma (PDAC) in abdominal CT scans, which sheds light on early diagnosis of pancreatic cancer. This is a 3D volume classification task w…