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The Thyroid Gland

The Thyroid Gland

The thyroid gland is a small, butterfly-shaped gland located in the neck and covers the anterior surface of the trachea. The gland has two lateral lobes connected by a thin tissue mass called the isthmus. Internally, each lobe comprises many small spherical structures known as thyroid follicles, surrounded by a network of blood vessels.
The follicles have a central cavity lined by simple cuboidal to squamous epithelial cells called follicular cells. These cells produce the glycoprotein...

Graves' Disease I: Introduction

Graves' Disease I: Introduction

Graves' disease is an autoimmune disorder that causes hyperthyroidism, or overactivity of the thyroid gland. It results from autoantibodies called thyroid-stimulating immunoglobulins (TSIs), which bind to thyroid-stimulating hormone (TSH) receptors, leading to overstimulation of hormone production and a hypermetabolic state.EtiologyAlthough considered idiopathic, Graves’ disease has well-established contributing factors. There is a strong genetic component, with increased prevalence in...

Graves Disease II: Pathophysiology

Graves Disease II: Pathophysiology

Graves’ disease is an autoimmune disorder characterized by the production of thyroid-stimulating immunoglobulins (TSI) that activate TSH receptors, leading to excessive synthesis and release of thyroid hormones (T3 and T4) and resulting in hyperthyroidism.Among all causes of hyperthyroidism, Graves’ disease is the most common and can happen at any age, though it is more frequent in women. It produces a hypermetabolic state with features such as weight loss, tachycardia, tremor, and heat...

Goiter

Goiter

Goiter refers to an abnormal enlargement of the thyroid gland that may appear as a diffuse goiter (uniform enlargement) or nodular (single or multiple nodules). Functionally, it is classified as nontoxic (normal/low hormone levels) or toxic (excess hormone production).PathophysiologyDiffuse thyroid enlargement typically results from prolonged stimulation by thyroid-stimulating hormone (TSH) or TSH-like agents, commonly seen in hypothyroidism or iodine deficiency. In contrast, in hyperthyroid...

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Related Experiment Video

Updated: Jul 10, 2026

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

TSE-GAN: strain elastography using generative adversarial network for thyroid disease diagnosis.

Anping Song¹, Tianyi Li¹, Xuehai Ding¹

¹School of Computer Engineering and Science, Shanghai University, Shanghai, China.

Frontiers in Bioengineering and Biotechnology

|February 16, 2024

Summary

This study introduces TSE-GAN, a new artificial intelligence method for creating realistic thyroid strain elastograms. This technique aids in diagnosing thyroid nodules by overcoming limitations in current elastography methods.

Keywords:

deep learning generative adversarial networks image translation strain estimation ultrasound elastography

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Area of Science:

Medical Imaging
Artificial Intelligence
Oncology

Background:

Thyroid cancer incidence has tripled globally in 35 years.
Strain elastography is a sensitive imaging technique for thyroid nodule evaluation.
Current strain elastography methods face limitations in standardization and analysis.

Purpose of the Study:

To develop an automated method for generating realistic thyroid strain elastograms.
To address the limitations of existing strain elastography techniques.
To improve the diagnostic accuracy of thyroid nodule assessment.

Main Methods:

Proposed a novel conditional generative adversarial network (TSE-GAN).
Utilized a global-to-local architecture for multi-scale feature extraction.
Incorporated an adaptive deformable U-net structure for effective deformation.
Introduced a Lab-based loss function for realistic elastogram generation.

Main Results:

TSE-GAN successfully generated realistic thyroid strain elastograms.
The proposed method demonstrated superior performance compared to state-of-the-art image translation techniques.
Qualitative and quantitative assessments confirmed the clinical utility of generated elastograms.

Conclusions:

TSE-GAN offers a valuable tool for clinical thyroid nodule diagnosis.
The AI-driven approach enhances the diagnostic application of strain elastography.
This method holds practical value in improving thyroid cancer detection.