Detecting Vasodilation as Potential Diagnostic Biomarker in Breast Cancer Using Deep Learning-Driven Thermomics

Breast cancer is the most common cancer in women. Early diagnosis improves outcome and survival, which is the cornerstone of breast cancer treatment. Thermography has been utilized as a complementary diagnostic technique in breast cancer detection. Artificial intelligence (AI) has the capacity to ca...

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Vydané v:	Biosensors (Basel) Ročník 10; číslo 11; s. 164
Hlavní autori:	Yousefi, Bardia, Akbari, Hamed, Maldague, Xavier P.V.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland MDPI AG 31.10.2020 MDPI
Predmet:	Analysis Artificial Intelligence Biological markers Biomarkers Blood vessels Breast cancer breast cancer screening Breast Neoplasms - diagnosis Cancer Deep Learning deep sparse autoencoder deep-learning features Diagnosis Dilatation dimensionality reduction Early Detection of Cancer Female Humans imaging biomarker Mammography Thermography Vasodilation vasodilator activity Canada United States dimensionality reduction breast cancer screening imaging biomarker deep sparse autoencoder vasodilator activity deep-learning features
ISSN:	2079-6374, 2079-6374
On-line prístup:	Získať plný text
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