Breast Cancer Classification: In-depth Exploration of Different Paradigms and Ensemble Technique-Reference-Cited by-同舟云学术

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Breast Cancer Classification: In-depth Exploration of Different Paradigms and Ensemble Technique

Published:2024-02-28 Issue: Volume:48 Page:702-708
ISSN:
Container-title:2024 11th International Conference on Computing for Sustainable Global Development (INDIACom)
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Author:

Adem Abdulahi Mahammed¹,Kant Ravi¹,Sonia ¹,Kumari Sudesh²,Swaroopa C. Naga³,Gupta Gaurav¹

Affiliation:

1. Shoolini University,Yogananda School of AI, Computer and Data Sciences,Solan,India

2. Maharishi Markandeshwar (Deemed to be University),ECE Department,Mullana, Ambala

3. Annamacharya Institute of Technology and Sciences,Rajampet,Andhra Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10498128/10498148/10498454.pdf?arnumber=10498454

Reference57 articles.

1. Computer aided diagnosis using Harris Hawks optimizer with deep learning for pneumonia detection on chest X-ray images

2. Computer Aided Breast Cancer Detection Using Ensembling of Texture and Statistical Image Features

3. CWV-BANN-SVM ensemble learning classifier for an accurate diagnosis of breast cancer

4. Breast Cancer Diagnosis Using Feature Ensemble Learning Based on Stacked Sparse Autoencoders and Softmax Regression

5. Breast Cancer Classification Using Machine Learning Algorithms

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