Breast cancer diagnosis using fluorescence spectroscopy with dual-wavelength excitation and machine learning

Optical Biopsy XVII: Toward Real-Time Spectroscopic Imaging and Diagnosis ◽

10.1117/12.2509147 ◽

2019 ◽

Author(s):

Xin Gao ◽

Binlin Wu

Keyword(s):

Breast Cancer ◽

Machine Learning ◽

Fluorescence Spectroscopy ◽

Cancer Diagnosis ◽

Breast Cancer Diagnosis ◽

Dual Wavelength

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A Comparative Study between Simulation of Machine Learning and Extreme Learning Techniques on Breast Cancer Diagnosis

SSRN Electronic Journal ◽

10.2139/ssrn.3615092 ◽

2020 ◽

Author(s):

Rahul Reddy Nadikattu

Keyword(s):

Breast Cancer ◽

Machine Learning ◽

Comparative Study ◽

Cancer Diagnosis ◽

Breast Cancer Diagnosis ◽

Learning Techniques

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Proposed approach for breast cancer diagnosis using machine learning

Proceedings of the 4th International Conference on Smart City Applications - SCA '19 ◽

10.1145/3368756.3369089 ◽

2019 ◽

Author(s):

Hajar Saoud ◽

Abderrahim Ghadi ◽

Mohamed Ghailani

Keyword(s):

Breast Cancer ◽

Machine Learning ◽

Cancer Diagnosis ◽

Breast Cancer Diagnosis

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An automated machine learning tool for breast cancer diagnosis for healthcare professionals

Health Systems ◽

10.1080/20476965.2021.1966324 ◽

2021 ◽

pp. 1-31

Author(s):

Tawseef Ayoub Shaikh ◽

Rashid Ali

Keyword(s):

Breast Cancer ◽

Machine Learning ◽

Cancer Diagnosis ◽

Healthcare Professionals ◽

Breast Cancer Diagnosis ◽

Learning Tool ◽

Automated Machine Learning ◽

Machine Learning Tool

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Breast Cancer Diagnosis Using Machine Learning Algorithms - A Survey

International Journal of Distributed and Parallel systems ◽

10.5121/ijdps.2013.4309 ◽

2013 ◽

Vol 4 (3) ◽

pp. 105-112 ◽

Cited By ~ 15

Author(s):

Gayathri B.M ◽

Sumathi C.P ◽

Santhanam T

Keyword(s):

Breast Cancer ◽

Machine Learning ◽

Cancer Diagnosis ◽

Learning Algorithms ◽

Breast Cancer Diagnosis ◽

Machine Learning Algorithms

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An Experimental Comparison of Machine Learning Classification Algorithms for Breast Cancer Diagnosis

Information Systems - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-44322-1_2 ◽

2020 ◽

pp. 18-30

Author(s):

Markos Marios Kaklamanis ◽

Michael Ε. Filippakis ◽

Marios Touloupos ◽

Klitos Christodoulou

Keyword(s):

Breast Cancer ◽

Machine Learning ◽

Cancer Diagnosis ◽

Breast Cancer Diagnosis ◽

Experimental Comparison ◽

Classification Algorithms ◽

Machine Learning Classification

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Comparative Study of Different Machine Learning Models for Breast Cancer Diagnosis

Innovations in Soft Computing and Information Technology ◽

10.1007/978-981-13-3185-5_3 ◽

2019 ◽

pp. 17-25 ◽

Cited By ~ 2

Author(s):

Aman Kumar ◽

M. Poonkodi

Keyword(s):

Breast Cancer ◽

Machine Learning ◽

Comparative Study ◽

Cancer Diagnosis ◽

Breast Cancer Diagnosis ◽

Learning Models ◽

Machine Learning Models

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Breast cancer diagnosis using adaptive voting ensemble machine learning algorithm

2018 IEEMA Engineer Infinite Conference (eTechNxT) ◽

10.1109/etechnxt.2018.8385355 ◽

2018 ◽

Cited By ~ 13

Author(s):

Naresh Khuriwal ◽

Nidhi Mishra

Keyword(s):

Breast Cancer ◽

Machine Learning ◽

Cancer Diagnosis ◽

Learning Algorithm ◽

Breast Cancer Diagnosis ◽

Machine Learning Algorithm ◽

Ensemble Machine Learning

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Application of Supervised Self-Organizing Maps in Breast Cancer Diagnosis by Total Synchronous Fluorescence Spectroscopy

Applied Spectroscopy ◽

10.1366/10-05928 ◽

2011 ◽

Vol 65 (3) ◽

pp. 293-297 ◽

Cited By ~ 13

Author(s):

Tatjana Dramićanin ◽

Bogomir Dimitrijević ◽

Miroslav D. Dramićanin

Keyword(s):

Breast Cancer ◽

Fluorescence Spectroscopy ◽

Cancer Diagnosis ◽

Breast Cancer Diagnosis ◽

Synchronous Fluorescence ◽

Self Organizing Maps ◽

Synchronous Fluorescence Spectroscopy ◽

Self Organizing

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Data warehouse for machine learning: application to breast cancer diagnosis

Procedia Computer Science ◽

10.1016/j.procs.2021.12.065 ◽

2022 ◽

Vol 196 ◽

pp. 692-698

Author(s):

Marwa Ben Ammar ◽

Faten Labbene Ayachi ◽

Riadh Ksantini ◽

Halima Mahjoubi

Keyword(s):

Breast Cancer ◽

Machine Learning ◽

Data Warehouse ◽

Cancer Diagnosis ◽

Breast Cancer Diagnosis

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Machine learning for breast cancer diagnosis in Developing Countries

10.26481/dis.20201109st ◽

2020 ◽

Author(s):

Kakileti Siva Teja

Keyword(s):

Breast Cancer ◽

Machine Learning ◽

Developing Countries ◽

Cancer Diagnosis ◽

Breast Cancer Diagnosis

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