IJPR  articles are Indexed in SCOPUSClick Here     Impact Factor for Five Years is 0.13 (2013 - 2018).    

logo

INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH

A Step Towards Excellence

IJPR included in UGC-Approved List of Journals - Ref. No. is SL. No. 4812 & J. No. 63703

Published by : Advanced Scientific Research
ISSN
0975-2366
Current Issue
Article In Press
No Data found.
ADOBE READER

(Require Adobe Acrobat Reader to open, If you don't have Adobe Acrobat Reader)

Index Page 1
Click here to Download
IJPR 9[3] July - September 2017 Special Issue

July - September 9[3] 2017

Click to download
 

Article Detail

Label
Label
Classification of Benign and Malignant Breast Lesions in Ultrasound Images using Support Vector Machines

Author: TELAGARAPU PRABHAKAR, ANNAPANTULA SUDHAKAR
Abstract: One of the most common diseases prevalent among women is Breast cancer. In general, Mammography is applied for the detection of the breast cancer, whereas, the technique of Mammography makes use of the ionizing radiation. As a result, this technique does not detect the breast cancer in women having dense breast. In the beginning phases of malignancy, radiologist could experience the challenges in identifying the lesions. Hence, there is a need for one more screen test for the confirmation of the cancer. On the other hand, Sonography is also commonly used for the detection and classification of abnormalities of the breast owing to its cost-effectiveness, comfort level of patient, and non-ionizing radiation. Nevertheless, ultrasound images seem to be low contrast images as well as the physician could encounter the possible challenges in the identification of the lesions. Therefore, there has been an inevitable requirement in the development of Computer Aided Diagnosis (CAD) system for the purpose of classifying breast lesion in an accurate manner. This paper aims at the analyzing the Morphological and Fractal features in an effective manner for differentiating benign as well as malignant masses from ultrasound images. .
Keyword: Breast Ultrasound, Morphological features, Fractal features, Support Vector Machine (SVM), Fuzzy K-Nearest Neighbor (FKNN)
DOI: https://doi.org/10.31838/ijpr/2020.12.03.025
Download: Request For Article
 












ONLINE SUBMISSION
USER LOGIN


Username
Password
Login | Register
News & Events

Terms and Conditions
Disclaimer
Refund Policy
Instrucations for Subscribers
Privacy Policy

Copyrights Form

0.12
2018CiteScore
 
8th percentile
Powered by  Scopus
Google Scholar

hit counters free