… an ensemble deep learning model, which combined multiple individual deep learning …
After the training of CNN models reached convergences, we performed ensemble learning with …

… Thyroid cancer ranks as the 5th most prevalent cancer in the … an ensemble learning
model leveraging deep learning … of thyroid cancer includes follicular thyroid cancer, papillary …

… paper is to introduce various deep learning models, including … on a thyroid dataset sources
from the National Cancer Institute-… papillary thyroid carcinoma by employing an ensemble …

… new machine learning model to assist clinicians in decision-making. If a PTC patient with
positive or high probability of CLNM according to the prediction of new machine learning model…

… is the first deep learning system for … deep learning as a potential solution to reliably predict
CLNM, we propose developing an ensemble deep learning model trained on primary thyroid …

… of thyroid cancer is papillary thyroid carcinoma (PTC) accounting for 80% of thyroid malignancies
[3]. … the superiority of ensemble ideas in the construction of machine learning models. …

… RF models are highly flexible machine learning algorithms that were first proposed by Leo
Breiman in 2001. This method uses bootstrap sampling with replacement to repeatedly and …

… With the use of the CT images and lesions masks, the deep learning (DL) signature was
developed by the DenseNet combined with convolutional block attention module. One-way …

… disorder detection, this research aims to ofer an IoT-based ensemble learning framework. In
… of papillary thyroid carcinoma. Chen et al. [7] proposed a multi-feature fusion convolutional …

… showed the highest accuracy, followed by the Ensemble models, including LightGBM and
stacking techniques. All of the machine learning models showed accuracies of 90% or more. …