Medical Image Analysis

1. Contralaterally Enhanced Networks for Thoracic Disease Detection

Identifying and locating diseases in chest Xrays are very challenging, due to the low visual contrast between normal and abnormal regions, and distortions caused by other overlapping tissues. An interesting phenomenon is that there exist many similar …

2. Deep Transformers for Fast Small Intestine Grounding in Capsule Endoscope Video

Capsule endoscopy is an evolutional technique for examining and diagnosing intractable gastrointestinal diseases. Because of the huge amount of data, analyzing capsule endoscope videos is very time-consuming and labor-intensive for gastrointestinal …

3. Graph Neural Networks for Unsupervised Domain Adaptation of Histopathological ImageAnalytics

Annotating histopathological images is a time-consuming andlabor-intensive process, which requires broad-certificated pathologistscarefully examining large-scale whole-slide images from cells to tissues.Recent frontiers of transfer learning …

4. Meta Corrupted Pixels Mining for Medical Image Segmentation

Deep neural networks have achieved satisfactory performance in piles of medical image analysis tasks. However the training of deep neural network requires a large amount of samples with high-quality annotations. In medical image segmentation, it is …

5. Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation

Recently 3D volumetric organ segmentation attracts much research interest in medical image analysis due to its significance in com- puter aided diagnosis. This paper aims to address the pancreas segmen- tation task in 3D computed tomography volumes. …