Thyroid nodule segmentation method and device, storage medium and terminal equipment

Abstract

The invention discloses a thyroid nodule segmentation method and device, a storage medium and terminal equipment, and the method comprises the steps: inputting a to-be-segmented thyroid image into a trained first segmentation network model, and determining a nodule positioning region through the first segmentation network model; determining a target image based on the nodule positioning area and the to-be-segmented thyroid image; and inputting the target image into a trained second segmentation network model, and determining a thyroid nodule region through the second segmentation network model. According to the invention, the thyroid nodule is preliminarily positioned based on the first segmentation network model, and then based on the second segmentation network model, segmenting the region of interest corresponding to the thyroid nodule determined based on the preliminary positioning to obtain the thyroid nodule region, so that on one hand, the thyroid nodule region can be automatically obtained, and on the other hand, the accuracy of the thyroid nodule region can be improved through two-stage segmentation.

Description

technical field [0001] The present application relates to the technical field of biomedical engineering, in particular to a segmentation method, device, storage medium and terminal equipment for thyroid nodules. Background technique [0002] The thyroid gland is an important endocrine organ in the human body. It is located in the front of the neck below the thyroid cartilage and secretes thyroid hormones to regulate the body's metabolism. Thyroid nodules are usually solid, cystic, or a combination of solid and cystic nodules. There are thyroid nodules with regular borders and well-defined borders, and there are also thyroid nodules with irregular borders. According to epidemiological studies, the incidence of malignant thyroid nodules is 0.1%-0.2%. Malignant thyroid nodules are generally determined by imaging methods, among which ultrasound imaging is the most commonly used imaging method. [0003] However, the quality of ultrasound images is relatively low and the speckle ...

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Problems solved by technology

[0003] However, the quality of ultrasound images is relatively low and the speckle noise makes the organs and tissues in ultrasound images blurred and uneven, and the shape and boundary of thyroid nodules are difficult to determine. The boundary is very dependent on the doctor's experience, and there are also high personal subjective factors, which will affect the accuracy of the detection results of thyroid nodules

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