Classification of human skin cancer using Stokes-Mueller decomposition method and artificial intelligence models-Reference-Cited by-同舟云学术

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Classification of human skin cancer using Stokes-Mueller decomposition method and artificial intelligence models

Published:2022-01 Issue: Volume:249 Page:168239
ISSN:0030-4026
Container-title:Optik
language:en
Short-container-title:Optik

Author:

Luu Thanh-Ngan,Phan Quoc-Hung,Le Thanh-Hai,Pham Thi-Thu-Hien

Funder

National Foundation for Science and Technology Development

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference47 articles.

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2. Increasing burden of melanoma in the United States;Linos;J. Investig. Dermatol.,2009

3. Sensitivity and specificity of epiluminescence microscopy: evaluation on a sample of 2731 excised cutaneous pigmented lesions;Ascierto;Br. J. Dermatol.,2002

4. Impact of in vivo reflectance confocal microscopy on the number needed to treat melanoma in doubtful lesions;Alarcon;Br. J. Dermatol.,2014

5. In vivo reflectance confocal microscopy to optimize the spaghetti technique for defining surgical margins of lentigo maligna;Champin;Dermatol. Surg.,2014

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2. Combination of Muller matrix imaging polarimetry and artificial intelligence for classification of mice skin cancer tissue in-vitro and in-vivo;Optik;2024-09

3. Artificial intelligence for nonmelanoma skin cancer;Clinics in Dermatology;2024-06

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5. Polarimetric imaging combining optical parameters for classification of mice non-melanoma skin cancer tissue using machine learning;Heliyon;2023-11

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