The present invention provides a method, device, equipment for the segmentation of a lesion in a biological image and a storage medium. The method comprises a step of acquiring a target biological image, a step of performing coarse segmentation processing on the target biological image and obtaining a coarse segmentation mask after the rough segmentation processing, wherein the coarse segmentationmask includes information of candidate lesions in the target biological image, a step of identifying a non-real lesion from the candidate lesions, correcting the rough segmentation mask based on a recognition result such that the information of an identified non-real lesion is not included in the coarse segmentation mask and a target segmentation mask obtained after the correction is used as a lesion segmentation mask corresponding to the target biological image. According to the method, the device, the equipment and the storage medium, the lesion can be automatically positioned from the target biological image, the mode is labor-saving, the time consumption of the positioning of the lesion is reduced, misdiagnosis and missed diagnosis caused by the manual positioning of the lesion are avoided, the positioned lesion can also assist the doctor to carry out fast and accurate analysis, and the diagnostic efficiency and diagnostic accuracy of doctors are improved.