Ultrasonic multi-mode automatic recognition method and device based on breast cancer molecular typing
A technology of molecular typing and automatic recognition, applied in neural learning methods, image analysis, biological neural network models, etc., can solve problems such as automatic recognition, and achieve the effect of reducing the difficulty of model fitting
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Embodiment 1
[0087] According to an embodiment of the present invention, a multimodal automatic identification device based on breast cancer molecular typing ultrasound images is provided, including:
[0088] The data preprocessing module is used for denoising preprocessing of grayscale, color Doppler ultrasound and elastic ultrasound images of breast cancer molecular classification.
[0089] The data enhancement module is used for performing data enhancement on the preprocessed three ultrasound images.
[0090] The training module performs modality model training on the three enhanced ultrasonic images.
[0091] The integration module integrates the grayscale, color Doppler ultrasound and elastic models formed by training.
[0092] The interception position of the device is the upper left and the lower right, and the data enhancement rotation angle, rotation direction, random shear position, and zoom size are consistent, and the mixup data enhancement method is used for data enhancement....
Embodiment 2
[0100] An embodiment of the present invention provides a multimodal automatic identification device based on molecular typing of breast cancer ultrasound images, including: a memory, a processor, and a computer program stored in the memory and operable on the processor. When the computer program is executed by the processor, the following method steps are implemented:
[0101] S1. Perform noise reduction preprocessing on the grayscale, color Doppler ultrasound and elastic ultrasound images of breast cancer molecular classification;
[0102] S2. Perform data enhancement on the preprocessed three ultrasound images;
[0103] S3. Perform modality model training on the three enhanced ultrasound images;
[0104] S4. Integrate the grayscale, color Doppler ultrasound, and elastic models formed by training.
[0105] S1 specifically includes,
[0106] S11. From the image area of the original ultrasound image of breast cancer, take the upper left and lower right as two ends to interce...
Embodiment 3
[0125] An embodiment of the present invention provides a computer-readable storage medium, where a program for realizing information transmission is stored on the computer-readable storage medium, and when the program is executed by a processor, the steps described in the second embodiment of the above-mentioned device are implemented.
[0126] The computer-readable storage medium described in this embodiment includes but is not limited to: ROM, RAM, magnetic disk or optical disk, and the like.
[0127] Obviously, those skilled in the art should understand that each module or each step of the above-mentioned present invention can be realized by a general-purpose computing device, and they can be concentrated on a single computing device, or distributed in a network formed by multiple computing devices Alternatively, they may be implemented in program code executable by a computing device so that they may be stored in a storage device to be executed by a computing device, and in...
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