870 citations · 1k across the 29 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CV2023
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation
Zeju Li, Konstantinos Kamnitsas, Qi Dou +2
This paper presents an effective and general data augmentation framework for medical image segmentation. We adopt a computationally efficient and data-efficient gradient-based meta…
eess.IV2023
Conditional Deformable Image Registration with Spatially-Variant and Adaptive Regularization
Yinsong Wang, Huaqi Qiu, Chen Qin
Deep learning-based image registration approaches have shown competitive performance and run-time advantages compared to conventional image registration methods. However, existing…
eess.IV2023★ 1 cited
A Data Augmentation Method and the Embedding Mechanism for Detection and Classification of Pulmonary Nodules on Small Samples
Yang Liu, Yue-Jie Hou, Chen-Xin Qin +4
Detection of pulmonary nodules by CT is used for screening lung cancer in early stages.omputer aided diagnosis (CAD) based on deep-learning method can identify the suspected areas…