Breast Cancer Detection: SVM and SMOTE Integration for Fine Needle Aspiration Feature Analysis-Reference-Cited by-同舟云学术

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Breast Cancer Detection: SVM and SMOTE Integration for Fine Needle Aspiration Feature Analysis

Published:2024-05-16 Issue: Volume:95 Page:1-4
ISSN:
Container-title:2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE)
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Author:

Sethy Prabira Kumar¹,S Shanthi.²,Panigrahi Manas Kumar³,Shirole Akshay⁴,Das Ashis⁵,Nanda Amlan³

Affiliation:

1. Guru Ghasidas Vishwavidyalaya!, Bilaspur, C.G.,Department of ECE

2. Malla reddy college of engineering and technology,Department of Computer Science and Engineering

3. Sambalpur University Institute of Information Technology,Department of Computer Science,Burla,India

4. Dr. C.V. Raman University Kota Bilaspur C.G.,Department of Electrical Engineering

5. SUIIT, Sambalpur UNiversity,Department of Computer Science and Engineering,Burla,Odisha,768019

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10582048/10582049/10582203.pdf?arnumber=10582203

Reference12 articles.

1. Understanding breast cancer as a global health concern;L;Br J Radiol,2022

2. Current State of Breast Cancer Diagnosis, Treatment, and Theranostics

3. Automated breast cancer detection in mammography using ensemble classifier and feature weighting algorithms

4. Fine needle aspiration;Maoxin;Cancer investigation,2004

5. Fine-needle aspiration biopsy: a review

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