Oncology | Radiology FedDUS: Lung tumor segmentation on CT images through federated semi-supervised with dynamic update strategy. April 4, 2024
Oncology | Radiology Deep learning model fusion improves lung tumor segmentation accuracy across variable training-to-test dataset ratios. August 7, 2023
Radiology Automated lung tumor segmentation robust to various tumor sizes using a consistency learning-based multi-scale dual-attention network. July 10, 2023
Oncology | Radiology Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentation. November 1, 2022
Oncology | Radiology Automatic lung tumor segmentation from CT images using improved 3D densely connected UNet. September 28, 2022
Radiology Lung tumor segmentation using dual-coupling net with shape prior based on lung and mediastinal window images from chest CT images. August 21, 2022
Radiology Multi-scale segmentation squeeze-and-excitation UNet with conditional random field for segmenting lung tumor from CT images. June 18, 2022
Radiology Deep Residual Separable Convolutional Neural Network for lung tumor segmentation. January 9, 2022
Oncology | Radiology Lung tumor segmentation in 4D CT images using motion convolutional neural networks. September 1, 2021
Medical Imaging | Radiation Oncology Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation. April 27, 2021
Oncology | Radiology Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation. May 18, 2020