A novel classification scheme to decline the mortality rate among women due to breast tumor-Reference-Cited by-同舟云学术

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A novel classification scheme to decline the mortality rate among women due to breast tumor

Published:2017-11-16 Issue:2 Volume:81 Page:171-180
ISSN:1059-910X
Container-title:Microscopy Research and Technique
language:en
Short-container-title:Microsc Res Tech

Author:

Mughal Bushra¹,Sharif Muhammad¹,Muhammad Nazeer²^ORCID,Saba Tanzila³

Affiliation:

1. Department of Computer Science; COMSATS Institute of Information Technology; Wah Cantt Pakistan

2. Department of Mathematics; COMSATS Institute of Information Technology; Wah Cantt Pakistan

3. College of Computer and Information Sciences; Prince Sultan University; Riyadh, 11586 Saudi Arabia

Publisher

Wiley

Subject

Medical Laboratory Technology,Instrumentation,Histology,Anatomy

Reference33 articles.

1. Detection of masses in digital mammogram using second order statistics and artificial neural network;Al Mutaz;International Journal of Computer Science & Information Technology (IJCSIT),2011

2. Mammogram MRI image segmentation and classification;Angayarkanni;Journal of Theoretical & Applied Information Technology,2013

3. Use of artificial neural network in pattern recognition;Basu;International Journal of Software Engineering and Its Applications,2010

4. Mammogram classification using two dimensional discrete wavelet transform and gray-level co-occurrence matrix for detection of breast cancer;Beura;Neurocomputing,2015

5. Directional features for automatic tumor classification of mammogram images;Buciu;Biomedical Signal Processing and Control,2011

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