Feasibility Study of Optical Spectroscopy as a Medical Tool for Diagnosis of Skin Lesions

Skin cancer is one of the most frequently en-countered types of cancer in the Western world. According to the Skin Cancer Foundation Statistics, one in every five Americans develops skin cancer during his/her lifetime. Today, the incurability of advanced cutaneous melanoma raises the importance of its early detection. Since the differentiation of early melanoma from other pigmented skin lesions is not a trivial task, even for experienced dermatologists, computer aided diagnosis could become an important tool for reducing the mortality rate of this highly malignant cancer type. In this paper, a computer aided diagnosis system based on machine learning is proposed in order to support the clinical use of optical spectroscopy for skin lesions quantification and classification. The focuses is on a feasibility study of optical spectroscopy as a medical tool for diagnosis. To this end, data acquisition protocols for optical spectroscopy are defined and detailed analysis of feature vectors is performed. Different tech-niques for supervised and unsupervised learning are explored on clinical data, collected from patients with malignant and benign skin lesions.

@article{Saf2016,
  title     = {Feasibility Study of Optical Spectroscopy as a Medical Tool for Diagnosis of Skin Lesions},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {7},
  number    = {10},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Asad Saf and Sheikh Ziauddin and Alexander Horsch and Mahzad Ziai and Victor Castaneda and Tobias Lasser and Nassir Navab},
  doi       = {10.14569/IJACSA.2016.071052},
  url       = {https://doi.org/10.14569/IJACSA.2016.071052}
}