Pulmonary CT nodules segmentation using an enhanced square U-Net with depthwise separable convolution.
Ji LiJiabao JinDongfang ShenGuanping XuHui-Qing ZengSunkui KeXiangxing ChenMiao WangXiongbiao LuoPublished in: Medical Imaging: Image Processing (2023)
Keyphrases
- lung parenchyma
- ct scans
- ct images
- lung nodules
- ground glass opacity
- lung cancer
- pulmonary nodules
- computed tomography
- medical images
- computer tomography
- medical imaging
- thoracic ct images
- airway tree
- computer aided diagnosis
- pulmonary embolism
- x ray
- lymph nodes
- ct data
- computer aided
- lung disease
- segmentation algorithm
- image segmentation
- three dimensional
- image processing
- level set
- anatomical structures
- brain mri
- image slices
- low dose
- segmentation method
- ct volume
- mri images
- x ray images
- medical image processing
- contrast enhanced
- region growing
- image analysis
- image reconstruction
- mri brain
- fully automatic
- completely automated
- magnetic resonance
- automatic segmentation