Pulmonary nodule detection method and system
A detection method, a technology of pulmonary nodules, applied in the field of image recognition, to achieve accurate detection, improve stability and efficiency, and ensure the effect of detection quality
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Embodiment 1
[0053] The present embodiment 1 provides a kind of pulmonary nodule detection system, and this system comprises:
[0054] An acquisition module, configured to acquire a lung CT scan image to be detected;
[0055] The processing module is used to resample, normalize and carry out expansion operation processing to the obtained lung CT scan image to be detected;
[0056] The detection module is used to process the processed lung CT scan image to be detected by using the trained detection model to obtain a detection result; the detection result includes whether there is a pulmonary nodule in the lung CT scan image to be detected, And the calibration position and area size of pulmonary nodules;
[0057] The trained detection model is obtained by using the training set; the training set includes a plurality of lung CT scan images, and labels of lung nodule positions and regions in the marked images.
[0058] In the present embodiment 1, utilize above-mentioned pulmonary nodule det...
Embodiment 2
[0081] In the present embodiment 2, provide a kind of pulmonary nodule detection system, this system comprises:
[0082] An acquisition module, configured to acquire a lung CT scan image to be detected;
[0083] The processing module is used to resample, normalize and carry out expansion operation processing to the obtained lung CT scan image to be detected;
[0084] The detection module is used to process the processed lung CT scan image to be detected by using the trained detection model to obtain a detection result; the detection result includes whether there is a pulmonary nodule in the lung CT scan image to be detected, And the calibration position and area size of pulmonary nodules;
[0085] The trained detection model is obtained by using the training set; the training set includes a plurality of lung CT scan images, and labels of lung nodule positions and regions in the marked images.
[0086] Such as figure 1 As shown, in the present embodiment 2, utilize above-men...
Embodiment 3
[0130] Embodiment 3 of the present invention provides a non-transitory computer-readable storage medium, the non-transitory computer-readable storage medium is used to store computer instructions, and when the computer instructions are executed by a processor, the pulmonary nodule detection method is implemented instruction, the method includes:
[0131] Obtain a CT scan image of the lung to be detected;
[0132] Resampling, normalizing and expanding the mask for the acquired lung CT scan image to be detected;
[0133] Use the trained detection model to process the processed lung CT scan image to obtain the detection result; the detection result includes whether there are pulmonary nodules in the lung CT scan image to be detected, and the number of pulmonary nodules Calibration position and area size;
[0134] The trained detection model is obtained by using the training set; the training set includes a plurality of lung CT scan images, and labels of lung nodule positions an...
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