Evaluating the Efficacy of Multi-resolution Texture Features for Prediction of Breast Density Using Mammographic Images-Reference-Cited by-同舟云学术

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Evaluating the Efficacy of Multi-resolution Texture Features for Prediction of Breast Density Using Mammographic Images

Published:2017-08-14 Issue: Volume: Page:391-422
ISSN:
Container-title:Hybrid Intelligence for Image Analysis and Understanding
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Author:

Kaur Kriti Harleen¹,Virmani Jitendra²

Affiliation:

1. Electrical and Instrumentation Engineering Department; Thapar University; Patiala, Punjab India

2. CSIR-CSIO; Sector-30C Chandigarh India

Publisher

John Wiley & Sons, Ltd

Reference107 articles.

1. What is breast cancer http://www.nationalbreastcancer.org/what-is-breast-cancer

2. What is breast cancer 2015 http://www.breastcancer.org/symptoms/understand_bc/what_is_bc

3. Types of breast cancers 2014 http://www.cancer.org/cancer/breastcancer/detailedguide/breast-cancer-breast-cancer-types

4. Cancer health center http://www.webmd.com/cancer/what-is-carcinoma

5. DCIS-ductal carcinoma in situ 2015 http://www.breastcancer.org/symptoms/types/dcis

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1. A comprehensive study of different feature selection methods and machine-learning techniques for SODAR structure classification;Modeling Earth Systems and Environment;2020-07-09

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