Infection detection method, device, equipment and medium

The invention provides an infection detection method and device, equipment and a medium, and the method comprises the steps: obtaining a to-be-detected cross section bit image corresponding to a to-be-detected part, and inputting the to-be-detected cross section bit image into a pre-trained infection detection model which comprises a convolutional network, a transformer encoder, a transformer decoder and a feedforward network; acquiring first feature information of the to-be-detected cross section bit image by adopting the convolutional network and the transformer encoder; the transformer decoder and the feed-forward network are adopted to judge whether an actual infection area exists in the to-be-detected cross section bit image or not according to the first feature information; and when the judgment result is that the actual infection area exists in the to-be-detected cross section image, further outputting a first detection position of the actual infection area in the to-be-detected cross section image by