2020
DOI: 10.1002/jbio.202000424
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Hyperspectral imaging as a diagnostic tool to differentiate between amalgam tattoos and other dark pigmented intraoral lesions

Abstract: The goal of this project is to identify any in‐depth benefits and drawbacks in the diagnosis of amalgam tattoos and other pigmented intraoral lesions using hyperspectral imagery collected from amalgam tattoos, benign, and malignant melanocytic neoplasms. Software solutions capable of classifying pigmented lesions of the skin already exist, but conventional red, green and blue images may be reaching an upper limit in their performance. Emerging technologies, such as hyperspectral imaging (HSI) utilize more than… Show more

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Cited by 8 publications
(12 citation statements)
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“…9294 So far, HSI provides diagnostic information for anemia, hypoxia, cancer detection, skin lesions and ulcer identification, and urinary stone analysis. 1214,95106 Additional applications range from in vivo to ex vivo measurements including image-guided surgery, 12,106108 endoscopy, 78,109 dermatology, 110 macroscopic investigations of ex-vivo tissue specimens 111113 and histology. 13,14,114…”
Section: Hsi In Clinical Researchmentioning
confidence: 99%
See 4 more Smart Citations
“…9294 So far, HSI provides diagnostic information for anemia, hypoxia, cancer detection, skin lesions and ulcer identification, and urinary stone analysis. 1214,95106 Additional applications range from in vivo to ex vivo measurements including image-guided surgery, 12,106108 endoscopy, 78,109 dermatology, 110 macroscopic investigations of ex-vivo tissue specimens 111113 and histology. 13,14,114…”
Section: Hsi In Clinical Researchmentioning
confidence: 99%
“…Ex vivo, digital pathology as an emerging technology promises quantitative diagnosis of pathological samples, relying on RGB digitized histology images. 13,14,114,120123 In Figure 3 an exemplary workflow for HSI as a diagnostic tool to differentiate amalgam tattoos from melanocytic lesions is presented.…”
Section: Hsi In Clinical Researchmentioning
confidence: 99%
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