Picture for Antong Chen

Antong Chen

Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations

Add code
Sep 04, 2023
Viaarxiv icon

Group Equivariant Generative Adversarial Networks

Add code
May 04, 2020
Figure 1 for Group Equivariant Generative Adversarial Networks
Figure 2 for Group Equivariant Generative Adversarial Networks
Figure 3 for Group Equivariant Generative Adversarial Networks
Figure 4 for Group Equivariant Generative Adversarial Networks
Viaarxiv icon

A deep learning-facilitated radiomics solution for the prediction of lung lesion shrinkage in non-small cell lung cancer trials

Add code
Mar 05, 2020
Figure 1 for A deep learning-facilitated radiomics solution for the prediction of lung lesion shrinkage in non-small cell lung cancer trials
Figure 2 for A deep learning-facilitated radiomics solution for the prediction of lung lesion shrinkage in non-small cell lung cancer trials
Figure 3 for A deep learning-facilitated radiomics solution for the prediction of lung lesion shrinkage in non-small cell lung cancer trials
Figure 4 for A deep learning-facilitated radiomics solution for the prediction of lung lesion shrinkage in non-small cell lung cancer trials
Viaarxiv icon

Restoration of marker occluded hematoxylin and eosin stained whole slide histology images using generative adversarial networks

Add code
Oct 14, 2019
Figure 1 for Restoration of marker occluded hematoxylin and eosin stained whole slide histology images using generative adversarial networks
Figure 2 for Restoration of marker occluded hematoxylin and eosin stained whole slide histology images using generative adversarial networks
Figure 3 for Restoration of marker occluded hematoxylin and eosin stained whole slide histology images using generative adversarial networks
Figure 4 for Restoration of marker occluded hematoxylin and eosin stained whole slide histology images using generative adversarial networks
Viaarxiv icon

A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images

Add code
Nov 14, 2018
Figure 1 for A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images
Figure 2 for A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images
Figure 3 for A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images
Viaarxiv icon

A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions

Add code
Nov 11, 2018
Figure 1 for A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions
Figure 2 for A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions
Figure 3 for A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions
Figure 4 for A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions
Viaarxiv icon