Radiology Automated semantic lung segmentation in chest CT images using deep neural network. June 5, 2023
Radiology Implementable Deep Learning for Multi-sequence Proton MRI Lung Segmentation: A Multi-center, Multi-vendor, and Multi-disease Study. February 17, 2023
Computer Science | Medical Image Analysis | Radiology A Systematic Review of Automated Segmentation Methods and Public Datasets for the Lung and its Lobes and Findings on Computed Tomography Images. December 4, 2022
Radiology A robust semantic lung segmentation study for CNN-based COVID-19 diagnosis. November 2, 2022
Radiology Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networks. September 12, 2022
Radiology Lung Segmentation Reconstruction Based Data Augmentation Approach for Abnormal Chest X-ray Images Diagnosis. September 10, 2022
Radiology Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation. August 21, 2022
Pulmonology | Radiology Large-scale investigation of deep learning approaches for ventilated lung segmentation using multi-nuclear hyperpolarized gas MRI. June 22, 2022
Oncology | Radiology The Influence of a Coherent Annotation and Synthetic Addition of Lung Nodules for Lung Segmentation in CT Scans. May 20, 2022
Radiology H-SegNet: hybrid segmentation network for lung segmentation in chest radiographs using mask region-based convolutional neural network and adaptive closed polyline searching method. March 14, 2022