Cargando…
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...
Autores principales: | Pham, Thi-Thu-Hien, Luu, Thanh-Ngan, Nguyen, Thao-Vi, Huynh, Ngoc-Trinh, Phan, Quoc-Hung, Le, Thanh-Hai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682661/ https://www.ncbi.nlm.nih.gov/pubmed/38034801 http://dx.doi.org/10.1016/j.heliyon.2023.e22081 |
Ejemplares similares
-
Combined Mueller matrix imaging and artificial intelligence classification framework for Hepatitis B detection
por: Pham, Thi-Thu-Hien, et al.
Publicado: (2022) -
Characterization of Mueller matrix elements for classifying human skin cancer utilizing random forest algorithm
por: Luu, Ngan Thanh, et al.
Publicado: (2021) -
Optimization of Oligomer Chitosan/Polyvinylpyrrolidone Coating for Enhancing Antibacterial, Hemostatic Effects and Biocompatibility of Nanofibrous Wound Dressing
por: Doan, Vinh Khanh, et al.
Publicado: (2022) -
Risk factors for cannula-associated arterial thrombosis following extracorporeal membrane oxygenation support: a retrospective study
por: Trieu, Ngan Hoang Kim, et al.
Publicado: (2023) -
Clinical Features and the Outcome Evaluations of Keloid and Hypertrophic Scar Treatment with Triamcinolone Injection in Mekong Delta, Vietnam – A Cross-Sectional Study
por: Van Nguyen, Lam, et al.
Publicado: (2023)