Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
153 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Advancing dermatological diagnosis: Development of a hyperspectral dermatoscope for enhanced skin imaging (2403.00612v2)

Published 1 Mar 2024 in eess.IV and cs.CV

Abstract: Clinical dermatology necessitates precision and innovation for efficient diagnosis and treatment of various skin conditions. This paper introduces the development of a cutting-edge hyperspectral dermatoscope (the Hyperscope) tailored for human skin analysis. We detail the requirements to such a device and the design considerations, from optical configurations to sensor selection, necessary to capture a wide spectral range with high fidelity. Preliminary results from 15 individuals and 160 recorded skin images demonstrate the potential of the Hyperscope in identifying and characterizing various skin conditions, offering a promising avenue for non-invasive skin evaluation and a platform for future research in dermatology-related hyperspectral imaging.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (45)
  1. Wcrf international - skin cancer statistics. https://www.wcrf.org/cancer-trends/skin-cancer-statistics/. Accessed: 2023-12-13.
  2. The global burden of skin cancer: A longitudinal analysis from the global burden of disease study, 1990–2017. JAAD International, 2:98–108, March 2021.
  3. State of the science on prevention and screening to reduce melanoma incidence and mortality: The time is now. CA Cancer J. Clin., 66(6):460–480, November 2016.
  4. Early detection of melanoma: reviewing the ABCDEs. J. Am. Acad. Dermatol., 72(4):717–723, April 2015.
  5. Diagnostic accuracy of dermoscopy. Lancet Oncol., 3(3):159–165, March 2002.
  6. Dermoscopy compared with naked eye examination for the diagnosis of primary melanoma: a meta-analysis of studies performed in a clinical setting. Br. J. Dermatol., 159(3):669–676, September 2008.
  7. National cancer institute - cancer stat facts: Melanoma of the skin. https://seer.cancer.gov/statfacts/html/melan.html. Accessed: 2023-01-05.
  8. J Mayer. Systematic review of the diagnostic accuracy of dermatoscopy in detecting malignant melanoma. Med. J. Aust., 167(4):206–210, August 1997.
  9. Skin surgery under local anesthesia leads to stress-induced alterations of psychological, physical, and immune functions. Dermatol. Surg., 25(11):868–871, November 1999.
  10. Appearance-related psychosocial distress following facial skin cancer surgery using the FACE-Q skin cancer. Arch. Dermatol. Res., 311(9):691–696, November 2019.
  11. A review of noninvasive techniques for skin cancer detection in dermatology. Am. J. Clin. Dermatol., 21(4):513–524, August 2020.
  12. Diagnostics using Non-Invasive technologies in dermatological oncology. Cancers, 14(23), November 2022.
  13. Medical hyperspectral imaging: a review. J. Biomed. Opt., 19(1):10901, January 2014.
  14. In-Vivo and Ex-Vivo tissue analysis through hyperspectral imaging techniques: Revealing the invisible features of cancer. Cancers, 11(6), May 2019.
  15. Jonghee Yoon. Hyperspectral imaging for clinical applications. Biochip J., 16(1):1–12, March 2022.
  16. Applications of multispectral and hyperspectral imaging in dermatology. Exp. Dermatol., 31(8):1128–1135, August 2022.
  17. Differentiating malignant from benign pigmented or Non-Pigmented skin Tumours—A pilot study on 3D hyperspectral imaging of complex skin surfaces and convolutional neural networks. J. Clin. Med. Res., 11(7):1914, March 2022.
  18. Automatic detection of basal cell carcinoma by hyperspectral imaging. J. Biophotonics, 15(1):e202100231, January 2022.
  19. Parallel classification pipelines for skin cancer detection exploiting hyperspectral imaging on hybrid systems. Electronics, 9(9):1503, September 2020.
  20. Hyperspectral imaging and robust statistics in non-melanoma skin cancer analysis. Biomed. Opt. Express, 12(8):5107–5127, August 2021.
  21. Hyperspectral imaging in automated digital dermoscopy screening for melanoma. Lasers Surg. Med., 51(3):214–222, March 2019.
  22. Identification of skin lesions by snapshot hyperspectral imaging. Cancers, 16(1), January 2024.
  23. Classification of skin cancer using novel hyperspectral imaging engineering via YOLOv5. J. Clin. Med. Res., 12(3), February 2023.
  24. Hyperspectral imaging reveals spectral differences and can distinguish malignant melanoma from pigmented basal cell carcinomas: A pilot study. Acta Derm. Venereol., 101(2):adv00405, February 2021.
  25. Non-Invasive skin cancer diagnosis using hyperspectral imaging for In-Situ clinical support. J. Clin. Med. Res., 9(6), June 2020.
  26. Real-time skin chromophore estimation from hyperspectral images using a neural network. Skin Res. Technol., 27(2):163–177, March 2021.
  27. Hyperspectral imaging of human skin aided by artificial neural networks. Biomed. Opt. Express, 10(7):3545–3559, July 2019.
  28. Dermatologic hyperspectral imaging system for skin cancer diagnosis assistance. In 2019 XXXIV Conference on Design of Circuits and Integrated Systems (DCIS), pages 1–6. IEEE, November 2019.
  29. Polarization-sensitive hyperspectral imaging in vivo: a multimode dermoscope for skin analysis. Sci. Rep., 4:4924, May 2014.
  30. In vivo hyperspectral imaging and differentiation of skin cancer. In Optics in Health Care and Biomedical Optics VII, volume 10024, pages 658–665. SPIE, October 2016.
  31. Design of a Hyper-Spectral imaging system for gross pathology of pigmented skin lesions. Conf. Proc. IEEE Eng. Med. Biol. Soc., 2021:3605–3608, November 2021.
  32. FPI based hyperspectral imager for the complex Surfaces—Calibration, illumination and applications. Sensors, 22(9):3420, April 2022.
  33. Hyperspectral imaging for tumor segmentation on pigmented skin lesions. J. Biomed. Opt., 27(10), October 2022.
  34. Snapshot hyperspectral imaging in ophthalmology. J. Biomed. Opt., 12(1):014036, 2007.
  35. Review of snapshot spectral imaging technologies. Organ. Ethic., 52(9):090901, September 2013.
  36. An image is worth 16x16 words: Transformers for image recognition at scale. October 2020.
  37. Deep residual learning for image recognition. Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit., pages 770–778, December 2015.
  38. ImageNet classification with deep convolutional neural networks. Adv. Neural Inf. Process. Syst., 25, 2012.
  39. Clinical melanoma diagnosis with artificial intelligence: Insights from a prospective multicenter study. January 2024.
  40. Optical properties of human skin, subcutaneous and mucous tissues in the wavelength range from 400 to 2000 nm. J. Phys. D Appl. Phys., 38(15):2543, July 2005.
  41. Depth profile of diffuse reflectance near-infrared spectroscopy for measurement of water content in skin. Skin Res. Technol., 11(1):27–35, February 2005.
  42. IR sensitivity enhancement of CMOS image sensor with diffractive light trapping pixels. Sci. Rep., 7(1):3832, June 2017.
  43. Spectral reflectance variability of skin and attributing factors. In Radar Sensor Technology XIX; and Active and Passive Signatures VI, volume 9461, pages 510–517. SPIE, May 2015.
  44. An intuitive explanation of dermoscopic structures by digitally reconstructed pathological horizontal top-down view images. Sci. Rep., 9(1):19875, December 2019.
  45. Advances in dermoscopy for detecting melanocytic lesions. F1000 Med. Rep., 4:11, June 2012.
Citations (1)

Summary

We haven't generated a summary for this paper yet.

X Twitter Logo Streamline Icon: https://streamlinehq.com