62 citations · 123 across the 2 of their papers we have counts for
4 papers
Free-form tumor synthesis in computed tomography images via richer generative adversarial network
Qiangguo Jin, Hui Cui, Changming Sun +2
The insufficiency of annotated medical imaging scans for cancer makes it challenging to train and validate data-hungry deep learning models in precision oncology. We propose a new…
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images
Qiangguo Jin, Hui Cui, Changming Sun +3
The capability of generalization to unseen domains is crucial for deep learning models when considering real-world scenarios. However, current available medical image datasets, suc…
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans
Qiangguo Jin, Zhaopeng Meng, Changming Sun +2
Automatic extraction of liver and tumor from CT volumes is a challenging task due to their heterogeneous and diffusive shapes. Recently, 2D and 3D deep convolutional neural network…
DUNet: A deformable network for retinal vessel segmentation
Qiangguo Jin, Zhaopeng Meng, Tuan D. Pham +3
Automatic segmentation of retinal vessels in fundus images plays an important role in the diagnosis of some diseases such as diabetes and hypertension. In this paper, we propose De…