Osteophyte recognition method and device, electronic equipment and storage medium
An identification method and osteophyte technology, applied in the field of image processing, can solve problems such as affecting knee joint function, time-consuming and labor-intensive doctors, and errors.
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Embodiment 1
[0038] Embodiment 1 of the present invention provides a bone recognition method. figure 1 A flow schematic of the method of the second embodiment of the present invention. Such as figure 1 As shown, the bone recognition method of the first embodiment of the present invention includes the following steps:
[0039] S101: Get a medical image.
[0040] As a specific embodiment, the medical image is a medical image of a lower extremity bone, such as a lower extremity bone image.
[0041] S102: Enter the medical image into the training-trained first split model to obtain a femoral region and / or tibial region and / or a tibial region and / or a tibia region in the medical image.
[0042] In the first embodiment of the present invention, the first segmentation model is a UNET neural network model comprising a PointRend algorithm, so that high quality high-pixel image segmentation can be achieved. figure 2 Schematic diagram of processing flow for medical images in the first segmentation ...
Embodiment 2
[0070] In accordance with Embodiment 1 of the present invention, Embodiment 2 of the present invention provides a bone recognition device. Figure 4 A structural diagram of the bone recognition apparatus for the second embodiment of the present invention. Such as Figure 4 As shown, the bone recognition apparatus of the second embodiment of the present invention includes a acquisition module 20, a first processing module 22, and a second processing module 24.
[0071] The acquisition module 20 is configured to obtain a medical image.
[0072] The first processing module 22 is configured to input the medical image into the training-trained first segmentation model to obtain the femoral region and / or tibial region and / or the tibia region and / or tibia region in the medical image. ;
[0073] The second processing module 24 is configured to input the femur region and / or the tibial region and / or the tibia region and / or the tibia region to the training-trained second-divided mo...
Embodiment 3
[0076] Embodiments of the present invention also provide an electronic device, which may include processors and memory, wherein the processor and memory can be connected via a bus or otherwise.
[0077] The processor can be a central processor (Central Processing Unit, CPU). The processor can also be other general purpose processors, digital signals, DTLICEAL PROCESSOR, DSPs, specific integrated circuits (ASICs), field programmable gate arrays, FPGAs or others. Programmable logic devices, discrete doors or transistor logic devices, discrete hardware components, oriented, or a combination of various chips described above.
[0078] The memory is a non-transitory computer readable storage medium, and can be used to store a non-transient software program, a non-transitory computer executable program, and a module, such as program commands corresponding to the vehicle display device in the embodiment of the present invention. Module (for example, Figure 4 The acquisition module 20, the...
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