[HTML][HTML] A systematic review on artificial intelligence techniques for detecting thyroid diseases
The use of artificial intelligence approaches in health-care systems has grown rapidly over
the last few years. In this context, early detection of diseases is the most common area of …
the last few years. In this context, early detection of diseases is the most common area of …
A multi-channel deep convolutional neural network for multi-classifying thyroid diseases
Abstract Background and Objective: Thyroid disease instances have been continuously
increasing since the 1990s, and thyroid cancer has become the most rapidly rising disease …
increasing since the 1990s, and thyroid cancer has become the most rapidly rising disease …
QuCNet: Quantum-Inspired Convolutional Neural Networks for Optimized Thyroid Nodule Classification
The escalating incidence of thyroid cancer over the past decade underscores the imperative
for effective classification and early detection of thyroid nodules. An automated system for …
for effective classification and early detection of thyroid nodules. An automated system for …
Binary Classification of Thyroid Using Comprehensive Set of Machine Learning Algorithms
D Sengupta, S Mondal, A Raj, A Anand - Frontiers of ICT in Healthcare …, 2023 - Springer
Binary classification of Thyroid has been observed in several manuscripts in literature. This
study also classifies the disease using twelve machine learning algorithms. The results are …
study also classifies the disease using twelve machine learning algorithms. The results are …
Predictive Modeling for Thyroid Disease Diagnosis using Machine Learning
RH Agarwal, S Degadwala… - … Conference on Inventive …, 2024 - ieeexplore.ieee.org
Thyroid" conditions pose a worldwide health challenge, demanding precise and timely
assessments. This research embarks on a three-stage investigation into machine learning …
assessments. This research embarks on a three-stage investigation into machine learning …
Improvisation of predictive modeling using different classifiers for predicting thyroid disease in patients
S Shibu, D Sahu - International Conference on Information Systems and …, 2022 - Springer
In this era of big data and machine learning, a lot of emphasis is on gathering useful insights
from available data. This is facilitated with the availability of low cost computing facilities and …
from available data. This is facilitated with the availability of low cost computing facilities and …