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 …

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about homeAI.info and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!