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Comment on Finding reduced Raman spectroscopy fingerprint of skin samples for melanoma diagnosis through machine learning

ARTIFICIAL INTELLIGENCE IN MEDICINE (2022)

In vivo diagnosis of skin cancer with a portable Raman spectroscopic device

Ivan A. Bratchenko et al.

Summary: In this study, skin cancer was diagnosed in vivo using a portable low-cost spectroscopy setup, showing promising accuracy in classifying malignant and benign tumors, melanomas and pigmented tumors, and melanomas and seborrhoeic keratosis. The proposed system's automatic analysis accuracy outperformed GPs and trainees, and was comparable to trained dermatologists, suggesting potential for improving neoplasms classification in combination with other optical techniques.

EXPERIMENTAL DERMATOLOGY (2021)

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Article Oncology

Improving clinical diagnosis of early-stage cutaneous melanoma based on Raman spectroscopy

Ines P. Santos et al.

BRITISH JOURNAL OF CANCER (2018)

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Article Chemistry, Analytical

Wavenumber selection based analysis in Raman spectroscopy improves skin cancer diagnostic specificity

Jianhua Zhao et al.

ANALYST (2016)

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Article Dermatology

In vivo Raman Microspectroscopy: Intra- and Intersubject Variability of Stratum Corneum Spectral Markers

Alessia Quatela et al.

SKIN PHARMACOLOGY AND PHYSIOLOGY (2016)

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Comment on Finding reduced Raman spectroscopy fingerprint of skin samples for melanoma diagnosis through machine learning

相关参考文献

In vivo diagnosis of skin cancer with a portable Raman spectroscopic device

Improving clinical diagnosis of early-stage cutaneous melanoma based on Raman spectroscopy

Wavenumber selection based analysis in Raman spectroscopy improves skin cancer diagnostic specificity

In vivo Raman Microspectroscopy: Intra- and Intersubject Variability of Stratum Corneum Spectral Markers

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