Classification of basal cell carcinoma in human skin using machine learning and quantitative …
W. Gao, V. P. Zakharov, O. O. Myakinin, I. A. Bratchenko, D. N. Artemyev, and D. V. Kornilin, “Medical images classification for skin cancer using quantitative image features with optical coherence tomography,” J. Innov. Opt. Health Sci. 9, 1650003 (2016).[Crossref] Y. Gan, D. Tsay, S. B. Amir, C. C. Marboe, and C. P. Hendon, “Automated classification of optical coherence tomography images of human atrial tissue,” J. Biomed. Opt. 21, 101407 (2016).[Crossref] [PubMed] O. Markowitz, M. Schwartz, E. Feldman, A. Bienenfeld, A. K. Bieber, J. Ellis, U. Alapati, M. Lebwohl, and D. M. Siegel, “Evaluation of optical coherence tomography as a means of identifying earlier stage basal cell carcinomas while reducing the use of diagnostic biopsy,” J. Clin. Aesthet. Dermatol. 8, 14 (2015).[PubMed] M. A. Boone, A. Marneffe, M. Suppa, M. Miyamoto, I. Alarcon,…
Link to Full Article: Classification of basal cell carcinoma in human skin using machine learning and quantitative …
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