Pulmonary nodule segmentation method and device, computing equipment and storable medium

The embodiment of the invention provides a pulmonary nodule segmentation method, which comprises the following steps: acquiring a lung image to be segmented, the lung image to be segmented comprising a target pulmonary nodule to be segmented and extracted; preprocessing the lung image to be segmented to obtain a data enhanced input image; processing the input image through a trained image segmentation network model to obtain a segmentation result of a target pulmonary nodule in the lung image to be segmented, wherein the image segmentation network model comprises an attention module to determine target information in the characteristic spectrum of the input image, and the attention module is arranged after two times of convolution of each layer of a decoder in the U-Net network. Herein, on the basis of the U-Net network, a channel attention module is added in a decoder, so that the utilization of useful features by the network is enhanced, and the network segmentation performance is effectively improved. 本发明实