Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review-Reference-Cited by-同舟云学术

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Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review

Published:2021-04 Issue: Volume:167 Page:114161
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Houssein Essam H.,Emam Marwa M.,Ali Abdelmgeid A.,Suganthan Ponnuthurai Nagaratnam

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference229 articles.

1. Breast tumor classification in ultrasound images using texture analysis and super-resolution methods;Abdel-Nasser;Engineering Applications of Artificial Intelligence,2017

2. Analysis of tissue abnormality and breast density in mammographic images using a uniform local directional pattern;Abdel-Nasser;Expert Systems with Applications,2015

3. An integrated method of associative classification and neuro-fuzzy approach for effective mammographic classification;Abubacker;Neural Computing and Applications,2017

4. Thermography based breast cancer detection using texture features and support vector machine;Acharya;Journal of Medical Systems,2012

5. A comparison of multi-resolution and multi-orientation for breast cancer diagnosis in the full-field digital mammogram;Addioui,2015

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