Artificial intelligence for thyroid nodule characterization: where are we standing?
Simple Summary In the present review, an up-to-date summary of the state of the art of
artificial intelligence (AI) implementation for thyroid nodule characterization and cancer is …
artificial intelligence (AI) implementation for thyroid nodule characterization and cancer is …
Artificial intelligence in thyroid field—a comprehensive review
Simple Summary The incidence of thyroid pathologies has been increasing worldwide.
Historically, the detection of thyroid neoplasms relies on medical imaging analysis …
Historically, the detection of thyroid neoplasms relies on medical imaging analysis …
Thyroid disease prediction using selective features and machine learning techniques
Simple Summary The study presents a thyroid disease prediction approach which utilizes
random forest-based features to obtain high accuracy. The approach can obtain a 0.99 …
random forest-based features to obtain high accuracy. The approach can obtain a 0.99 …
[HTML][HTML] Machine learning on thyroid disease: a review
KS Lee, H Park - Frontiers in Bioscience-Landmark, 2022 - imrpress.com
This study reviews the recent progress of machine learning for the early diagnosis of thyroid
disease. Based on the results of this review, different machine learning methods would be …
disease. Based on the results of this review, different machine learning methods would be …
Radiomics in differentiated thyroid cancer and nodules: explorations, application, and limitations
Y Cao, X Zhong, W Diao, J Mu, Y Cheng, Z Jia - Cancers, 2021 - mdpi.com
Simple Summary Differentiated thyroid cancer (DTC) is the most common endocrine
malignancy with a high incidence rate in females. The COVID-19 epidemic posed an …
malignancy with a high incidence rate in females. The COVID-19 epidemic posed an …
Application and prospects of AI-based radiomics in ultrasound diagnosis
Artificial intelligence (AI)-based radiomics has attracted considerable research attention in
the field of medical imaging, including ultrasound diagnosis. Ultrasound imaging has unique …
the field of medical imaging, including ultrasound diagnosis. Ultrasound imaging has unique …
Detecting thyroid disease using optimized machine learning model based on differential evolution
Thyroid disease has been on the rise during the past few years. Owing to its importance in
metabolism, early detection of thyroid disease is a task of critical importance. Despite …
metabolism, early detection of thyroid disease is a task of critical importance. Despite …
A machine-learning algorithm for distinguishing malignant from benign indeterminate thyroid nodules using ultrasound radiomic features
Background: Ultrasound (US)-guided fine needle aspiration (FNA) cytology is the gold
standard for the evaluation of thyroid nodules. However, up to 30% of FNA results are …
standard for the evaluation of thyroid nodules. However, up to 30% of FNA results are …
A deep learning approach for rapid mutational screening in melanoma
Image-based analysis as a rapid method for mutation detection can be advantageous in
research or clinical settings when tumor tissue is limited or unavailable for direct testing …
research or clinical settings when tumor tissue is limited or unavailable for direct testing …
Ultrasound-based radiomics analysis for preoperative prediction of central and lateral cervical lymph node metastasis in papillary thyroid carcinoma: a multi …
Y Tong, J Zhang, Y Wei, J Yu, W Zhan, H Xia… - BMC medical …, 2022 - Springer
Background An accurate preoperative assessment of cervical lymph node metastasis (LNM)
is important for choosing an optimal therapeutic strategy for papillary thyroid carcinoma …
is important for choosing an optimal therapeutic strategy for papillary thyroid carcinoma …