The invention relates to a wound assessment method and device based on
machine learning, equipment and a medium, and belongs to the field of intelligent
medical treatment. The method comprises the steps that a user uploads an original wound image; wound labeling information is obtained based on the original wound image and is transmitted back to the user side, the wound labeling information comprises a wound contour, a
wound size and a wound
recovery stage, the wound contour comprises a conventional wound contour and a beautified wound contour, and the wound
recovery stage comprises a blood coagulation stage, an
inflammation stage, a repair stage and a
mature stage; the user side comprises a conventional user side and a pure user side, the conventional wound contour is transmitted back to the conventional user side, and the beautified wound contour is transmitted back to the pure user side; according to the method and the
system, the wound is quickly and conveniently identified, the wound information is returned according to different requirements of the user, and the reasonable wound
nursing suggestion is provided.