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Firouzian, Zahra, Alavi, Seyed Enayatallah, Akbarizadeh, Gholamreza. (1405). Liver Segmentation using Wavelet Coefficients and Level Set Algorithm. سامانه مدیریت نشریات علمی, (), -. doi: 10.31661/jbpe.v0i0.2410-1843
Zahra Firouzian; Seyed Enayatallah Alavi; Gholamreza Akbarizadeh. "Liver Segmentation using Wavelet Coefficients and Level Set Algorithm". سامانه مدیریت نشریات علمی, , , 1405, -. doi: 10.31661/jbpe.v0i0.2410-1843
Firouzian, Zahra, Alavi, Seyed Enayatallah, Akbarizadeh, Gholamreza. (1405). 'Liver Segmentation using Wavelet Coefficients and Level Set Algorithm', سامانه مدیریت نشریات علمی, (), pp. -. doi: 10.31661/jbpe.v0i0.2410-1843
Firouzian, Zahra, Alavi, Seyed Enayatallah, Akbarizadeh, Gholamreza. Liver Segmentation using Wavelet Coefficients and Level Set Algorithm. سامانه مدیریت نشریات علمی, 1405; (): -. doi: 10.31661/jbpe.v0i0.2410-1843

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
شناسه دیجیتال (DOI): 10.31661/jbpe.v0i0.2410-1843
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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