The invention relates to a CT image
lung lobe segment segmentation method, device and
system, a storage medium and equipment, and the method comprises the steps: a detection step: in a CT image, detecting and outputting a
lung contour which comprises an intra-
lung region and an extra-
lung region; A screening step: in the lung contour, selecting a
machine segmentation mode to screen out an intra-
lung region, and taking the intra-
lung region as a candidate region; A segmentation step: in the 3D level of the candidate region, performing
blood vessel segmentation and pulmonary lobe segmentation onthe lung segment and the pulmonary lobe at the same time; A construction step: according to a
blood vessel segmentation result, constructing a
blood vessel tree to obtain three-dimensional blood vessel distribution of the lung; And an integration step: combining the blood vessel tree with the lung split segmentation result, and carrying out lung segment segmentation to obtain a final segmentationresult of the candidate region. According to the CT image
lung lobe segment segmentation method, device and
system based on
deep learning, the storage medium and the equipment, errors are effectivelyreduced, the diagnosis rate and accuracy are improved, and the CT image
lung lobe segment segmentation method, device and
system are not limited by individual lung morphological differences.