Breast nodule detection method and system based on ultrasound medicine
A breast nodule and detection method technology, applied in medical simulation, medical image, medical informatics and other directions, can solve the problems of dynamic identification and identification of breast tumors, and achieve the effect of stable training
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Embodiment 1
[0044] Cooperate figure 1 As shown, the present invention discloses a breast nodule detection method based on ultrasound medicine, comprising the following steps:
[0045] S1. Obtain breast ultrasound video data and perform preprocessing;
[0046] S11. Capture the largest rectangle from the breast ultrasound video data at the ultrasound imaging site, and uniformly scale the size to 256×256, wherein 20 frames are equally spaced and sparsely sampled in the middle of the video;
[0047] S12. Digital image processing, classifying the intercepted ultrasound video images, selecting clearer image slices containing complete nodules, and deleting redundant images that do not contain regions of interest;
[0048] S13. Data enhancement. The classified ultrasound video images are randomly cropped into 224×224 pixels by random cropping, and one ultrasound video image can be enhanced several hundred times. The spatial geometric transformation is used to affine the ultrasound video images. T...
Embodiment 2
[0072] The breast nodule detection system based on ultrasonic medicine of the present invention is characterized in that it includes a feature extraction module, a linear classification module, an attention selection module, a video detection module and a loss function module, wherein:
[0073] Feature extraction module: the preprocessed video data is obtained through the feature extraction network ResNet to obtain the video feature vector;
[0074] Linear classification module: the classification probability of each frame of video is detected by the video feature vector through a linear classification network;
[0075] Attention selection module: the video feature vector is passed through the attention selection network to obtain the weight of each frame of the video;
[0076] Video detection module: Combining the classification probability given by linear classification and the weight of each frame provided by the attention selection module, a breast nodule detection model i...
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