To provide a computed tomography (CT) pulmonary nodule detection method based on deep learning.SOLUTION: A method includes: a step of acquiring a 3D pulmonary CT sequence image of a user; a step of processing the acquired 3D pulmonary CT sequence image into 2D image data; a step of inputting the 2D image data to a deep learning network model that is preset for training in order to acquire the trained pulmonary nodule detection model; a step of inputting the set of tested 3D pulmonary CT sequence images to the trained pulmonary nodule detection model in order to acquire the preliminary pulmonary nodule detection result; and a step of applying the pulmonary region dividing algorithm based on the deep learning to the preliminary pulmonary nodule detection result in order to remove the erroneously detected pulmonary nodule for acquiring the final pulmonary nodule detection result.SELECTED DRAWING: Figure 1
COMPUTER TOMOGRAPHY PULMONARY NODULE DETECTION METHOD BASED ON DEEP LEARNING