International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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A Robust Quality Improvement Framework of Breast Ultrasound Images for Detection of Tumours

Author(s) Shruti Chaurasia, Shruti Bajpai, Shruti Jha, Awanish Kumar Shukla
Country India
Abstract In this paper, we investigate breast ultrasound images (BUSI) performing (CAD) Computer Aided Diagnosis of breast cancer, thereby predicting the stage of malignant tumor in breast ultrasound images through effective speckle filtering, contrast enhancement, feature extraction and feature fusion. This model trains BUSI dataset by performing Convolutional neural network (CNN) using NPR tool.
Keywords Breast Ultrasound Images (BUSI) dataset, Computer Aided Diagnosis (CAD), Speckle Removal Anisotropic Diffusion (SRAD) Filter, Region of Interest (ROI), Contrast Limited Adaptive Histogram (CLAHE), Gray-level co-occurrence Matrix (GLCM), Reformed Differential Evolution (RDE), Reformed Gray Wolf (RGW), Convolution Neural Network (CNN).
Field Engineering
Published In Volume 5, Issue 3, May-June 2023
Published On 2023-05-21
DOI https://doi.org/10.36948/ijfmr.2023.v05i03.3169
Short DOI https://doi.org/gr9r3v
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E-ISSN 2582-2160
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