Comparison of machine learning strategies for infrared thermography of skin cancer-Reference-Cited by-同舟云学术

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Comparison of machine learning strategies for infrared thermography of skin cancer

Published:2021-08 Issue: Volume:69 Page:102872
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Magalhaes Carolina^ORCID,Tavares João Manuel R.S.^ORCID,Mendes Joaquim^ORCID,Vardasca Ricardo^ORCID

Funder

European Social Fund

Ministério da Ciência, Tecnologia e Ensino Superior

Fundação para a Ciência e a Tecnologia

Instituto Português de Oncologia do Porto

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference53 articles.

1. Skin temperature: its role in thermoregulation;Romanovsky;Acta Physiol.,2014

2. Regulation of cancer cell metabolism;Cairns;Nat. Rev. Cancer.,2011

3. Malignant Skin Neoplasms;Ricotti;Med. Clin. North Am.,2009

4. Skin cancer prevention: Education and public health issues;Mahon;Semin. Oncol. Nurs.,2003

5. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Bray;CA. Cancer J. Clin.,2018

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4. Review on the evolving role of infrared thermography in oncological applications;Infrared Physics & Technology;2024-08

5. Is thermography an effective screening tool for differentiating benign and malignant skin lesions in the head and neck? A systematic review;Archives of Dermatological Research;2024-06-15

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