The present invention discloses a
lung field
image segmentation method, device, and storage medium. The method comprises: determining the gradient amplitude of a preprocessed chest image and integrating the gradient amplitude; determining a chest
image based on the integration result, and segmenting the chest image into a left chest image and a
right chest image based on a left
lung segmentation point and a right
lung segmentation point; performing costal margin segmentation, lung apex segmentation, and transverse and
mediastinum segmentation on the left chest image and the
right chest image, respectively, to obtain left and right costal margin segmentation images, left and right lung apex segmentation images, and left and right transverse and
mediastinum segmentation images; determining lung apex region boundaries, transverse
mediastinum region boundaries, and costal margin region boundaries based on the left and right costal margin segmentation images, the left and right lung apex segmentation images, and the left and right transverse and mediastinum segmentation images, and connecting the lung apex region boundaries, transverse mediastinum region boundaries, and costal margin region boundaries to obtain a
lung field image. The present invention segments and connects the costal margin, lung apex, and transverse mediastinum regions of the chest, thereby improving segmentation accuracy.