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
Cite This	A Robust Quality Improvement Framework of Breast Ultrasound Images for Detection of Tumours - Shruti Chaurasia, Shruti Bajpai, Shruti Jha, Awanish Kumar Shukla - IJFMR Volume 5, Issue 3, May-June 2023. DOI 10.36948/ijfmr.2023.v05i03.3169
DOI	https://doi.org/10.36948/ijfmr.2023.v05i03.3169
Short DOI	https://doi.org/gr9r3v

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9898-5948-55	editor@ijfmr.com

International Journal For Multidisciplinary Research