Oncology | Radiology DHT-Net: Dynamic Hierarchical Transformer Network for Liver and Tumor Segmentation. April 20, 2023
Medical Physics | Radiology Usefulness of copper filters in digital chest radiography based on the relationship between effective detective quantum efficiency and deep learning-based segmentation accuracy of the tumor area. April 12, 2023
Oncology | Radiology RMAU-Net: Residual Multi-Scale Attention U-Net For liver and tumor segmentation in CT images. April 8, 2023
Medical Imaging | Oncology | Radiation Oncology Head and neck tumor segmentation convolutional neural network robust to missing PET/CT modalities using channel dropout. April 5, 2023
Oncology | Radiology SCL-Net: Structured Collaborative Learning for PET/CT Based Tumor Segmentation. April 4, 2023
Oncology | Radiology Systematic Review of Tumor Segmentation Strategies for Bone Metastases. March 29, 2023
Oncology | Radiology | Surgery Toward Intraoperative Margin Assessment Using a Deep Learning-Based Approach for Automatic Tumor Segmentation in Breast Lumpectomy Ultrasound Images. March 29, 2023
Oncology | Radiology Boundary-oriented Network for Automatic Breast Tumor Segmentation in Ultrasound Images. March 23, 2023
Neurology | Oncology | Radiology Emerging Role of Artificial Intelligence in Diagnosis, Classification and Clinical Management of Glioma. March 12, 2023
Oncology | Radiology Accurate tumor segmentation and treatment outcome prediction with DeepTOP. February 22, 2023
Medical Imaging | Radiation Oncology Deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for predicted tumor probability in FDG PET and CT images. February 7, 2023
Neuro-Oncology | Radiology Deep learning based on preoperative MR images improves the predictive power of survival models in primary spinal cord astrocytomas. December 23, 2022