Polarimetric imaging combining optical parameters for classification of mice non-melanoma skin cancer tissue using machine learning

Polarimetric imaging combining optical parameters for classification of mice non-melanoma skin cancer tissue using machine learning

Polarimetric imaging systems combining machine learning is emerging as a promising tool for the support of diagnosis and intervention decision-making processes in cancer detection/staging. A present study proposes a novel method based on Mueller matrix imaging combining optical parameters and machin...

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Bibliographic Details
Main Authors: Thi-Thu-Hien Pham, Thanh-Ngan Luu, Thao-Vi Nguyen, Ngoc-Trinh Huynh, Quoc-Hung Phan, Thanh-Hai Le
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Heliyon
Subjects:
Optical polarization
Skin cancer
Mueller matrix imaging
Classification model
KNN classifier
DT classifier
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023092897

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http://www.sciencedirect.com/science/article/pii/S2405844023092897

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