Pulmonary nodule detection method and system

The invention discloses a pulmonary nodule detection method which comprises the following steps: acquiring an original data set, and preprocessing the original data set; constructing a neural networksegmentation model by adopting a Residual Block and a loss function; constructing a pulmonary nodule detection model by adopting a Faster RCNN algorithm; training and testing a neural network segmentation model and a pulmonary nodule detection model by using the preprocessed original data set; inputting a to-be-detected image to the trained and tested neural network segmentation model and the pulmonary nodule detection model; performing lung parenchyma segmentation on the to-be-detected image by using the neural network segmentation model to obtain a lung parenchyma segmentation image; performing nodule detection on the pulmonary parenchyma segmentation image by using a pulmonary nodule detection model, and outputting a pulmonary nodule candidate region; and eliminating a non-nodule regionof the pulmonary nodule c