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Automated Pulmonary Fibrosis Segmentation Using a 3D Multi-Scale Convolutional Encoder-Decoder Approach in Thoracic CT for the Rhesus Macaque with Radiation-Induced Lung Damage.

, , , , , , , , и . J. Signal Process. Syst., 94 (5): 473-483 (2022)

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Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense Attention., , , , , , , , , и . CoRR, (2021)Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT., , , , , , , и . Comput. Medical Imaging Graph., (2015)Pose estimation of known objects during transmission tomographic image reconstruction., , , , , , , и . IEEE Trans. Medical Imaging, 25 (10): 1392-1404 (2006)Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention., , , , , , , , , и . IEEE Trans. Medical Imaging, 41 (3): 531-542 (2022)Automated Pulmonary Fibrosis Segmentation Using a 3D Multi-Scale Convolutional Encoder-Decoder Approach in Thoracic CT for the Rhesus Macaque with Radiation-Induced Lung Damage., , , , , , , , и . J. Signal Process. Syst., 94 (5): 473-483 (2022)Efficient deformable model with sparse shape composition prior on compromised right lung segmentation in CT., , , , , , и . ICSAI, стр. 764-768. IEEE, (2014)