Abstract :

The Objective Of The Project Is To Build An AI-based System That Helps Diagnose Thyroid Cancer. The System Utilizes Deep Learning Techniques To Scrutinize Images From Ultrasound Exams. The Images Obtained From Ultrasound Scans And Medical Data Are Preprocessed To Remove Noise And Ensure Uniformity. A Hybrid Deep Learning Approach Using CNN-LSTM Can Be Proposed To Classify Thyroid As Benign Or Malignant. This Process Increases The Probability Of Accurate Diagnosis While Eliminating Errors. Associated With Manual Diagnosis. Evaluation Of The System Is Made Through Performance Metrics Such As Accuracy (99%), Precision (85%), Recall (94%), And F1-score (87%). A Web-based Interface Designed For Real-time Detection.

Published:

20-4-1-2026

Issue:

Vol. 26 No. 4-1 (2026)

Page Nos:

627-634

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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