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Automatic Pathological Lung Segmentation in Low-Dose CT Image Using Eigenspace Sparse Shape Composition.

, , , , , , , , and . IEEE Trans. Medical Imaging, 38 (7): 1736-1749 (2019)

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Automatic lung segmentation in low-dose CT image with contrastive attention module., , , , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 1131333. SPIE, (2020)Automatic Segmentation of Retinal Layer in OCT Images With Choroidal Neovascularization., , , , , , and . IEEE Trans. Image Process., 27 (12): 5880-5891 (2018)Automatic Pathological Lung Segmentation in Low-Dose CT Image Using Eigenspace Sparse Shape Composition., , , , , , , , and . IEEE Trans. Medical Imaging, 38 (7): 1736-1749 (2019)Simultaneous and automatic two surface detection of renal cortex in 3D CT images by enhanced sparse shape composition., , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109492D. SPIE, (2019)Active shape dictionary for automatic segmentation of pathological lung in low-dose CT image., , , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 1094926. SPIE, (2019)Dynamic Domain Adaptation for Single-view 3D Reconstruction., , , and . IROS, page 3563-3570. IEEE, (2021)Fully convolutional network with sparse feature-maps composition for automatic lung tumor segmentation from PET images., , , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113131O. SPIE, (2020)