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Bag om Non-Invasive Technologies for the Diagnosis and Management of Skin Cancer, An Issue of Dermatologic Clinics

This issue of Dermatologic Clinics, guest edited by Drs. Darrell S. Rigel and Aaron S. Farberg, is devoted to Non-Invasive Technologies for the Diagnosis of Skin Cancer. Articles in this issue include: Current state and issues of clinical inspection; Tele-dermatology applications in skin cancer diagnosis; Enhancing skin cancer diagnosis with dermoscopy; Mole Mapping for management of pigmented skin lesions; Temporal image comparison (Serial Imaging) in assessing pigmented lesions; Multispectral digital skin lesion imaging and analysis; Using reflectance confocal microscopy in skin cancer diagnosis; Optical Coherence Tomography in the diagnosis of skin cancer; Electrical impedance spectroscopy in skin cancer diagnosis; The use of Raman Spectroscopy to detect and diagnose skin cancer; Applying high frequency ultrasound in the diagnosis of skin cancer; Proteomic mass spectrometery imaging for skin cancer diagnosis; Assessing skin cancer using epidermal genetic information retrieved by tape stripping; Smartphone-based applications for skin monitoring and melanoma detection; Detection of aberrations in cellular DNA in diagnosis and assessment of skin cancer; Assessing genetic expression profiles in melanoma diagnosis; Assessing genetic expression profiles in melanoma prognosis; and Integrating skin cancer related technologies into clinical practice.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780323546621
  • Indbinding:
  • Hardback
  • Udgivet:
  • 26. september 2017
  • Størrelse:
  • 178x254x0 mm.
  • Vægt:
  • 500 g.
  • BLACK NOVEMBER
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Beskrivelse af Non-Invasive Technologies for the Diagnosis and Management of Skin Cancer, An Issue of Dermatologic Clinics

This issue of Dermatologic Clinics, guest edited by Drs. Darrell S. Rigel and Aaron S. Farberg, is devoted to Non-Invasive Technologies for the Diagnosis of Skin Cancer. Articles in this issue include: Current state and issues of clinical inspection; Tele-dermatology applications in skin cancer diagnosis; Enhancing skin cancer diagnosis with dermoscopy; Mole Mapping for management of pigmented skin lesions; Temporal image comparison (Serial Imaging) in assessing pigmented lesions; Multispectral digital skin lesion imaging and analysis; Using reflectance confocal microscopy in skin cancer diagnosis; Optical Coherence Tomography in the diagnosis of skin cancer; Electrical impedance spectroscopy in skin cancer diagnosis; The use of Raman Spectroscopy to detect and diagnose skin cancer; Applying high frequency ultrasound in the diagnosis of skin cancer; Proteomic mass spectrometery imaging for skin cancer diagnosis; Assessing skin cancer using epidermal genetic information retrieved by tape stripping; Smartphone-based applications for skin monitoring and melanoma detection; Detection of aberrations in cellular DNA in diagnosis and assessment of skin cancer; Assessing genetic expression profiles in melanoma diagnosis; Assessing genetic expression profiles in melanoma prognosis; and Integrating skin cancer related technologies into clinical practice.

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