Thyroid

Improving AI models for rare thyroid cancer subtype by text guided diffusion models.

Artificial intelligence applications in oncology imaging often struggle with diagnosing rare tumors....

Optimizing unsupervised feature engineering and classification pipelines for differentiated thyroid cancer recurrence prediction.

BACKGROUND: Differentiated thyroid cancer (DTC) is a common endocrine malignancy with rising inciden...

Intra- and Peritumoral Radiomics Based on Ultrasound Images for Preoperative Differentiation of Follicular Thyroid Adenoma, Carcinoma, and Follicular Tumor With Uncertain Malignant Potential.

OBJECTIVE: Differentiating between follicular thyroid adenoma (FTA), carcinoma (FTC), and follicular...

Dynamic AI Ultrasound-Assisted Diagnosis System to Reduce Unnecessary Fine Needle Aspiration of Thyroid Nodules.

OBJECTIVES: This study aims to compare the diagnostic efficiency of the American College of Radiolog...

CSASN: A Multitask Attention-Based Framework for Heterogeneous Thyroid Carcinoma Classification in Ultrasound Images

Heterogeneous morphological features and data imbalance pose significant challenges in rare thyroi...

Chronic Diseases Prediction using Machine Learning and Deep Learning Methods

Chronic diseases, such as cardiovascular disease, diabetes, chronic kidney disease, and thyroid di...

ThyroidEffi 1.0: A Cost-Effective System for High-Performance Multi-Class Thyroid Carcinoma Classification

Background: Automated classification of thyroid Fine Needle Aspiration Biopsy (FNAB) images faces ...

TSP-OCS: A Time-Series Prediction for Optimal Camera Selection in Multi-Viewpoint Surgical Video Analysis

Recording the open surgery process is essential for educational and medical evaluation purposes; h...

[Ten-year development and prospects of robotic thyroid surgery in China].

The robotic surgical system is a comprehensive system integrating multiple modern high technologies....

Label-free pathological subtyping of non-small cell lung cancer using deep classification and virtual immunohistochemical staining

The differentiation between pathological subtypes of non-small cell lung cancer (NSCLC) is an esse...

Data-Driven Strategies for Carbimazole Titration: Exploring Machine Learning Solutions in Hyperthyroidism Control.

BACKGROUND: University Hospitals Dorset (UHD) has more than 1000 thyroid patient contacts annually. ...

AI-Augmented Thyroid Scintigraphy for Robust Classification

Thyroid scintigraphy is a key imaging modality for diagnosing thyroid disorders. Deep learning mod...

Weakly Supervised Segmentation Framework for Thyroid Nodule Based on High-confidence Labels and High-rationality Losses

Weakly supervised segmentation methods can delineate thyroid nodules in ultrasound images efficien...

Visualization of Organ Movements Using Automatic Region Segmentation of Swallowing CT

This study presents the first report on the development of an artificial intelligence (AI) for aut...

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications

Artificial intelligence (AI) has potential to revolutionize the field of oncology by enhancing the...

[Two cases of transaxillary thyroidectomy assisted by a domestic single-port robotic system].

Exploiting pair correlation function to describe biological tissue structure

Multiplexed imaging technologies now enable the simultaneous profiling of hundreds to thousands of m...

Significant Reduction in Manual Annotation Costs in Ultrasound Medical Image Database Construction Through Step by Step Artificial Intelligence Pre-annotation

This study investigates the feasibility of reducing manual image annotation costs in medical image d...

Enhancing Diagnostic Precision in Thyroid Nodule Classification: A Deep Learning Approach to Automated Ultrasound Image Analysis

Escalating thyroid nodule prevalence necessitates precise ultrasonographic diagnosis, which is const...

Machine learning-Based Classification of Papillary Thyroid Carcinoma Versus Multinodular Goiter Using Preoperative Laboratory and Cytology Data

Thyroid nodules are frequently encountered in clinical practice, with their detection increasing due...

A nomogram for predicting the nature of thyroid adenomatoid nodules on ultrasound: a dual-center study.

PURPOSE: Thyroid Imaging Reporting and Data System (TIRADS) does not perform well in thyroid adenoma...