Comparison of Various Segmentation Techniques for Thyroid Disorder Detection

Author(s)	Ms. Vishwashri Amrut Kulkarni, Dr. Anil Renukadas Karwankar, Ms. Mrudula Arvind Mulay, Ms. Aruna Prashant Phatale
Country	India
Abstract	Millions of people worldwide suffer from thyroid diseases, which weaken energy, metabolism, and general health and call for prompt and precise diagnosis. One essential non- invasive diagnostic technique for identifying anomalies is thyroid ultrasonography imaging. This study looks at common thyroid conditions, the use of ultrasonography as a diagnostic tool, and several image segmentation methods for thyroid ultrasound image analysis. A thorough comparison of both conventional and sophisticated segmentation techniques is being done, assessing each one's performance using measures like Accuracy and F1 Score.
Keywords	Automated analysis, Diagnostic tools, Thyroid disorder, segmentation techniques, Ultrasound imaging.
Field	Engineering
Published In	Volume 7, Issue 3, May-June 2025
Published On	2025-06-22

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