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Liver Segmentation using Wavelet Coefficients and Level Set Algorithm | ||
| Journal of Biomedical Physics and Engineering | ||
| مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 28 اردیبهشت 1405 اصل مقاله (842.15 K) | ||
| نوع مقاله: Technical Note | ||
| نویسندگان | ||
| Zahra Firouzian1؛ Seyed Enayatallah Alavi* 1؛ Gholamreza Akbarizadeh2 | ||
| 1Department of Computer Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran | ||
| 2Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran | ||
| چکیده | ||
| In Computed Tomography (CT) scan, liver segmentation is crucial for diagnosing liver diseases. However, it faces challenges, such as partial volume effects, similarities in gray levels with adjacent organs, and variability in liver shapes. This technical note introduces a method combining wavelet coefficients and level set algorithms for precise liver segmentation. The proposed method integrates wavelet-based texture features with level set evolution, reducing reliance on pre-trained models and manual parameter tuning, and also demonstrates improved accuracy compared to existing approaches. | ||
| کلیدواژهها | ||
| Liver؛ Image Segmentation؛ Tomography, X-Ray Computed؛ Wavelet | ||
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آمار تعداد مشاهده مقاله: 8 تعداد دریافت فایل اصل مقاله: 6 |
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