Face region segmentation method and device for traditional Chinese medicine face diagnosis auxiliary diagnosis, and storage medium
A face area and auxiliary diagnosis technology, which is applied in medical automated diagnosis, computer-aided medical procedures, medical informatics, etc., can solve the problem of large impact on partition accuracy and positioning accuracy, single-sided face-to-face diagnosis results, and no data to support medical logic correspondence relationship and other issues to achieve the effect of improving calculation efficiency and accuracy
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Embodiment 1
[0033] refer to figure 1 As shown, it is a schematic diagram of the steps of the face region segmentation method used in the auxiliary diagnosis of traditional Chinese medicine face diagnosis provided by the embodiment of this specification. The method may include the steps of:
[0034] Step 101: Collect face images. Specifically, the collection of face images is the basis of auxiliary diagnosis of TCM face-to-face diagnosis, and visible light face images can be collected through the camera as the original image of TCM face-to-face diagnosis.
[0035] Step 102: Carry out area labeling on the face image according to the TCM face diagnosis divisions for training a face area segmentation model.
[0036] Optionally, the face-to-face diagnosis of traditional Chinese medicine includes psychological stress area, brain area, lung area, heart area, chest breast area, liver area, spleen area, gallbladder area, kidney area, bladder area, large intestine area, small intestine area, and ...
Embodiment 2
[0054] Figure 5 A schematic structural diagram of a human face region segmentation device 500 for assisting diagnosis in face-to-face diagnosis of traditional Chinese medicine is provided as an embodiment of this specification. Please refer to Figure 5 , in one embodiment, the human face region segmentation device used for auxiliary diagnosis of traditional Chinese medicine face diagnosis includes:
[0055] The facial image acquisition module 501 is configured to acquire facial images.
[0056] The model training module 502 is configured to perform region labeling on the face image according to the TCM face diagnosis divisions for training a face region segmentation model.
[0057] High-order image feature extraction module 503, a high-order image feature extraction module, is used to extract high-order image features from the face image through a convolutional neural network structure to form a first feature map, and the convolutional neural network structure passes at le...
Embodiment 3
[0062] Figure 6 It is a schematic structural diagram of an electronic device according to an embodiment of this specification. Please refer to Figure 6 , at the hardware level, the electronic device includes a processor, and optionally also includes an internal bus, a network interface, and a memory. Wherein, the memory may include a memory, such as a high-speed random-access memory (Random-Access Memory, RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. Of course, the electronic device may also include hardware required by other services.
[0063] The processor, the network interface and the memory can be connected to each other through an internal bus, which can be an ISA (Industry Standard Architecture, industry standard architecture) bus, a PCI (Peripheral Component Interconnect, peripheral component interconnection standard) bus or an EISA (Extended Industry StandardArchitecture, extended industry standard archi...
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