Lung CT image data segmentation method and system
The invention discloses a lung CT image data segmentation method and system, and belongs to the technical field of medical image processing and artificial intelligence. The method comprises the following steps: labeling a lung contour and a target area, and carrying out numerical cutting and normali...
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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | The invention discloses a lung CT image data segmentation method and system, and belongs to the technical field of medical image processing and artificial intelligence. The method comprises the following steps: labeling a lung contour and a target area, and carrying out numerical cutting and normalization processing on image data; performing training learning by using a first neural network to obtain a lung contour segmentation model; extracting a lung contour, determining a lung region of interest, and performing numerical cutting and normalization processing; cutting the lung region of interest, and performing training learning by using a second neural network to obtain a lung target region segmentation model; and segmenting a lung target area according to the image data and the lung target area segmentation model. The system comprises a labeling module, a first cutting normalization module, a first training learning module, a second cutting normalization module, a second training learning module and a dete |
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