Medical Imaging | Oncology | Radiology Large-Kernel Attention for 3D Medical Image Segmentation. July 8, 2024
Oncology | Radiology | Surgery Towards more precise automatic analysis: a systematic review of deep learning-based multi-organ segmentation. June 8, 2024
Computer Science | Radiology Deep learning-aided 3D proxy-bridged region-growing framework for multi-organ segmentation. April 29, 2024
Radiology Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets. April 11, 2024
Medical Imaging | Radiation Oncology | Radiology Cascaded cross-attention transformers and convolutional neural networks for multi-organ segmentation in male pelvic computed tomography. April 10, 2024
Computer Science | Radiology Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation. March 13, 2024
Radiology Fully-automated multi-organ segmentation tool applicable to both non-contrast and post-contrast abdominal CT: deep learning algorithm developed using dual-energy CT images. February 22, 2024
Radiation Oncology | Radiology Multi-organ segmentation of organ-at-risk (OAR’s) of head and neck site using ensemble learning technique. February 16, 2024
Medical Imaging | Radiology COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training. January 15, 2024
Cardiology | Radiology Fully Automated Agatston Score Calculation From Electrocardiography-Gated Cardiac Computed Tomography Using Deep Learning and Multi-Organ Segmentation: A Validation Study. January 3, 2024
Oncology | Radiology A new architecture combining convolutional and transformer-based networks for automatic 3D multi-organ segmentation on CT images. September 22, 2023
Medical Image Analysis | Radiology Tailored multi-organ segmentation with model adaptation and ensemble. September 19, 2023