Classification Comparison of Machine Learning Algorithms Using Spectroscopic Breast Tissues Dataset-Reference-Cited by-同舟云学术

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Classification Comparison of Machine Learning Algorithms Using Spectroscopic Breast Tissues Dataset

Published:2023-02-20 Issue: Volume: Page:
ISSN:
Container-title:2023 Advances in Science and Engineering Technology International Conferences (ASET)
language:
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Author:

Yuvalı Meliz¹,Abuzaid Mohammed Mahmoud²,Ozsahin Dilber Uzun³

Affiliation:

1. Near East University,Faculty of Medicine,Department of Biostatistics,Nicosia,Cyprus

2. University of Sharjah, College of Health Science,Medical Diagnostic Imaging Department,Sharjah,UAE

3. University of Sharjah,Department of Medical Diagnostic Imaging,Sharjah,UAE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10180403/10180404/10180521.pdf?arnumber=10180521

Reference20 articles.

1. Application of Raman Spectroscopy to Identify Microcalcifications and Underlying Breast Lesions at Stereotactic Core Needle Biopsy

2. UCI Machine Learning Repository: Breast Tissue Dataset;dua;UCI Machine Learning Repository,0

3. Prediction of Pancreatic Cancer by Serum Biomarkers Using Surface-Enhanced Laser Desorption/Ionization-Based Decision Tree Classification

4. Application of PCA method to analyze the value of Raman spectroscopy in the differential diagnosis of benign and malignant breast diseases;zhang;Journal of Jilin University (Medicine Edition),2013

5. Raman spectroscopic analysis differentiates between breast cancer cell lines

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