Empirical method for thyroid disease classification using a machine learning approach
There are many thyroid diseases affecting people all over the world. Many diseases affect
the thyroid gland, like hypothyroidism, hyperthyroidism, and thyroid cancer. Thyroid …
the thyroid gland, like hypothyroidism, hyperthyroidism, and thyroid cancer. Thyroid …
Endocrine tumor classification via machine-learning-based elastography: A systematic scoping review
Simple Summary The incidence of endocrine cancers (eg, thyroid, pancreas, and adrenal)
has been increasing; these cancers have a high premature mortality rate. Traditional …
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 …
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 …
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 …
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 …
elastography (SWE) images and ultrasound (US) images of thyroid nodules (TNs) and …
Predicting Thyroid Dysfunction Using Machine Learning Techniques
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 …
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 …
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 …
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
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 …
people in developed countries. Its early detection is crucial to prevent the irreversible …