Speckle Noise Suppression in Ultrasound Images Using Modular Neural Networks
نویسندگان
چکیده
In spite of the advancement in computerized imaging, many image modalities produce images with commotion influencing both visual quality and upsetting quantitative analysis. this way, research zone denoising is very dynamic. Among an extraordinary assortment restoration techniques neural network system-based noise suppression a basic productive methodology. paper, Bilateral Filter (BF) based Modular Neural Networks (MNN) has been utilized for speckle ultrasound image. Initial step BF filter used to input From output BF, statistical features such as mean, standard deviation, median kurtosis have extracted these are train MNN. Then, filtered from again denoised using The dataset Kaggle site training testing process. simulation outcomes demonstrate that BF-MNN filtering method performs better multiplicative concealment UltraSound (US) images. results, it observed than existing terms peak signal ratio (34.89), Structural Similarity Index (0.89) Edge Preservation (0.67).
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ژورنال
عنوان ژورنال: Intelligent Automation and Soft Computing
سال: 2023
ISSN: ['2326-005X', '1079-8587']
DOI: https://doi.org/10.32604/iasc.2023.022631