Early Detection of Breast Cancer using Diffuse Optical Probe and Ensemble Learning Method
Author:
Affiliation:
1. The school of Mechatronic Systems Engineering, Simon Fraser University,Surrey,BC,Canada,V2S 0C2
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10202212/10202164/10202520.pdf?arnumber=10202520
Reference21 articles.
1. Tumor Mutation Burden Prediction Model in Egyptian Breast Cancer patients based on Next Generation Sequencing
2. Diagnosis of breast cancer by the help of centroid based classifiers;takci;J Fac Eng Archit Gazi Univ,2016
3. Breast Tumor Classification Using an Ensemble Machine Learning Method
4. Comparison of Classification Success Rates of Different Machine Learning Algorithms in the Diagnosis of Breast Cancer
5. PSOWNNs-CNN: A Computational Radiology for Breast Cancer Diagnosis Improvement Based on Image Processing Using Machine Learning Methods
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1. Assessing residual cancer burden in breast cancer patients undergoing neoadjuvant chemotherapy using the OptiScan probe and machine learning;Biophotonics in Exercise Science, Sports Medicine, Health Monitoring Technologies, and Wearables V;2024-03-12
2. An Optical Sensory System for Assessment of Residual Cancer Burden in Breast Cancer Patients Undergoing Neoadjuvant Chemotherapy;Sensors;2023-06-20
3. Near-Infrared Handheld Probe and Imaging System for Breast Tumor Localization;IEEE Canadian Journal of Electrical and Computer Engineering;2023
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