Thyroid Cancer Detection Using Convolutional Neural Networks
[ N/A ]
Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Thyroid cancer is one of the most common cancers among all cancer types, and early diagnosis is very important to prevent the disease from progressing. This study shows that using Convolutional Neural Network (CNN), a deep learning model for the diagnosis of thyroid cancer, can provide faster and more accurate results for the diagnosis of thyroid cancer, especially in clinical trials. At the same time, this study highlights the potential applications of CNN models in medical imaging and cancer diagnosis. The dataset used in the CNN model is composed of thyroid biopsy images and divided into two classes: benign and malignant. The use of the CNN model on high-resolution thyroid biopsy images demonstrated that the model can effectively classify and a test accuracy of 84% was achieved. The model provided high sensitivity and specificity compared to similar studies. The findings show that the diagnosis process of thyroid cancer can be accelerated by using the CNN model, thus providing a better treatment process for cancer patients. © 2023 IEEE.
Açıklama
2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2023 -- 27 December 2023 through 28 December 2023 -- Zarqa -- 201143
Anahtar Kelimeler
Biopsy images, Convolutional Neural Network, Thyroid cancer
Kaynak
2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2023
WoS Q Değeri
Scopus Q Değeri
N/A
