DEEP LEARNING TECHNIQUES FOR THYROID NODULE DETECTION

Alt Text: Deep Learning-Based Thyroid Nodule Detection Using Ultrasound Imaging
Title: Deep Learning Techniques for Thyroid Nodule Detection
Caption: AI-driven ultrasound imaging for accurate thyroid nodule classification
Description: This paper explores deep learning techniques for thyroid nodule detection using convolutional neural networks (CNN) and deep convolutional neural networks (DCNN) to enhance accuracy in medical imaging diagnostics.
Keywords: deep learning, thyroid nodule detection, CNN, DCNN, ultrasound imaging, medical diagnostics

International Journal of Engineering and Techniques – Volume 10 Issue 3, May 2024

Mrs. Geethanjali RS1, Deekshith G2, Devi Shankar S Kaaturi3, Dhanush S P4, Ranjith Kumar GD5
1Assistant Professor, Department of Computer Science and Engineering, KSSEM, Bengaluru, Karnataka, India Email: geethanjali.rs@kssem.edu.in
2Student, Department of Computer Science and Engineering, KSSEM, Bengaluru, Karnataka, India Email: deekshithnaidu1923@gmail.com
3Student, Department of Computer Science and Engineering, KSSEM, Bengaluru, Karnataka, India Email: devishankarkaaturi44@gmail.com
4Student, Department of Computer Science and Engineering, KSSEM, Bengaluru, Karnataka, India Email: dhanushspdhanushsp@gmail.com
5Student, Department of Computer Science and Engineering, KSSEM, Bengaluru, Karnataka, India Email: ranjithkumargd2002@gmail.com

Abstract

In the realm of medical imaging, this study refines thyroid nodule prediction using advanced ultrasound technology and deep learning. A neural network forecasting model is crafted utilizing convolutional neural networks (CNN) and deep convolutional neural networks (DCNN) to enhance accuracy. The model leverages ultrasound images procured from collaborative hospitals as its foundation, ensuring reliable predictions of benign and malignant thyroid nodules.

Keywords

Deep learning, ultrasound imaging, thyroid nodules, CNN, DCNN, medical diagnostics

How to Cite

Geethanjali RS, Deekshith G, Devi Shankar S Kaaturi, Dhanush S P, Ranjith Kumar GD, “Deep Learning Techniques for Thyroid Nodule Detection,” International Journal of Engineering and Techniques, Volume 10, Issue 3, 2024. ISSN 2395-1303.

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Tags: deep learning in healthcare, AI-driven medical imaging, thyroid nodule detection, CNN-based classification, indexed research, peer-reviewed medical AI studies, high-impact factor journal.

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