Radiology Attention-guided context asymmetric fusion networks for the liver tumor segmentation of computed tomography images. July 18, 2024
Oncology | Radiation Therapy | Radiology Gaussian filter facilitated deep learning-based architecture for accurate and efficient liver tumor segmentation for radiation therapy. July 5, 2024
Oncology | Radiology SBCNet: Scale and Boundary Context Attention Dual-Branch Network for Liver Tumor Segmentation. May 6, 2024
Oncology | Radiology S2DA-Net: Spatial and spectral-learning double-branch aggregation network for liver tumor segmentation in CT images. April 27, 2024
Oncology | Radiology Tumor conspicuity enhancement-based segmentation model for liver tumor segmentation and RECIST diameter measurement in non-contrast CT images. April 13, 2024
Radiology SADSNet: A robust 3D synchronous segmentation network for liver and liver tumors based on spatial attention mechanism and deep supervision. March 29, 2024
Oncology | Radiology Attention Connect Network for Liver Tumor Segmentation from CT and MRI Images. January 5, 2024
Computer-aided diagnosis | Radiology A three-path network with multi-scale selective feature fusion, edge-inspiring and edge-guiding for liver tumor segmentation. December 11, 2023
Radiology MANet: a multi-attention network for automatic liver tumor segmentation in computed tomography (CT) imaging. November 17, 2023
Computer Science | Radiology Automatic Liver Tumor Segmentation from CT Images Using Graph Convolutional Network. September 9, 2023
Oncology | Radiology Context fusion network with multi-scale-aware skip connection and twin-split attention for liver tumor segmentation. July 20, 2023
Oncology | Radiology Leverage prior texture information in deep learning-based liver tumor segmentation: A plug-and-play Texture-Based Auto Pseudo Label module. March 23, 2023