Empirical method for thyroid disease classification using a machine learning approach

T Alyas, M Hamid, K Alissa, T Faiz… - BioMed Research …, 2022 - Wiley Online Library
There are many thyroid diseases affecting people all over the world. Many diseases affect
the thyroid gland, like hypothyroidism, hyperthyroidism, and thyroid cancer. Thyroid …

Endocrine tumor classification via machine-learning-based elastography: A systematic scoping review

YJ Mao, LW Zha, AYC Tam, HJ Lim, AKY Cheung… - Cancers, 2023 - mdpi.com
Simple Summary The incidence of endocrine cancers (eg, thyroid, pancreas, and adrenal)
has been increasing; these cancers have a high premature mortality rate. Traditional …

A Review of Machine Learning Algorithms for Biomedical Applications

VA Binson, S Thomas, M Subramoniam, J Arun… - Annals of Biomedical …, 2024 - Springer
As the amount and complexity of biomedical data continue to increase, machine learning
methods are becoming a popular tool in creating prediction models for the underlying …

Early thyroid risk prediction by data mining and ensemble classifiers

MH Alshayeji - Machine Learning and Knowledge Extraction, 2023 - mdpi.com
Thyroid disease is among the most prevalent endocrinopathies worldwide. As the thyroid
gland controls human metabolism, thyroid illness is a matter of concern for human health. To …

Tuning multi-layer perceptron by hybridized arithmetic optimization algorithm for healthcare 4.0

M Stankovic, J Gavrilovic, D Jovanovic… - Procedia Computer …, 2022 - Elsevier
Healthcare 4.0 has been enabled by the recent advances in several different fields,
including the artificial intelligence (AI) and Internet of things (IoT), among others. It aims to …

Convolutional Neural Network for predicting thyroid cancer based on ultrasound elastography image of perinodular region

L Hu, C Pei, L Xie, Z Liu, N He, W Lv - Endocrinology, 2022 - academic.oup.com
We aimed to develop deep learning models based on perinodular regions' shear-wave
elastography (SWE) images and ultrasound (US) images of thyroid nodules (TNs) and …

Predicting Thyroid Dysfunction Using Machine Learning Techniques

KT Akash, FM Usman, TN Kumar… - 2023 12th …, 2023 - ieeexplore.ieee.org
The history of the thyroid gland dates back to ancient times when it was recognized as a
structure in the neck that was important for maintaining good health. Early detection of …

Relationship between thyroid CT density, volume, and future TSH elevation: A 5-year follow-up study

T Kikuchi, S Hanaoka, T Nakao, Y Nomura… - Life, 2023 - mdpi.com
This study aimed to explore the relationship between thyroid-stimulating hormone (TSH)
elevation and the baseline computed tomography (CT) density and volume of the thyroid …

Effective deep learning classification for kidney stone using axial computed tomography (CT) images

Ö Sabuncu, B Bilgehan, E Kneebone… - Biomedical Engineering …, 2023 - degruyter.com
Introduction Stone formation in the kidneys is a common disease, and the high rate of
recurrence and morbidity of the disease worries all patients with kidney stones. There are …

[HTML][HTML] MV-MS-FETE: Multi-view multi-scale feature extractor and transformer encoder for stenosis recognition in echocardiograms

D Avola, I Cannistraci, M Cascio, L Cinque… - Computer Methods and …, 2024 - Elsevier
Background: aortic stenosis is a common heart valve disease that mainly affects older
people in developed countries. Its early detection is crucial to prevent the irreversible …