[1] D. Huang, E. A. Swanson, C. P. Lin, J. S. Schuman, W. G. Stinson, W. Chang, M. R. Hee, T. Flotte, K. Gregory, C. A. Puliafito, J. G. Fujimoto, "Optical coherence tomography," Science 254, 1178–1181 (1991).
[2] M. Mogensen, L. Thrane, T. M. Joergensen, P. E. Andersen, G. B. E. Jemec, "OCT imaging of skin cancer and other dermatological diseases," J. Biophoton. 2, 442–451 (2009).
[3] P. G. H. Clarke, "Developmental cell death: morphological diversity and multiple mechanisms," Anat. Embryol. 181, 195–213 (1990).
[4] C. D. M. Fletcher, Diagnostic Histopathology of Tumors, Churchill Livingstone (1995).
[5] H. M. Salinas, D. Cabrera Fernandez, "Comparison of PDE-based nonlinear diffusion approaches for image enhancement and denoising in optical coherence tomography," IEEE Trans. Med. Imaging 26, 761–771 (2007).
[6] P. Puvanathasan, K. Bizheva, "Interval type-II fuzzy anisotropic diffusion algorithm for speckle noise reduction in optical coherence tomography images," Opt. Express 17, 733–746 (2009).
[7] W. Gao, E. Tatrai, V. Olvedy, B. Varga, L. Laurik, A. Somogyi, G. M. Somfai, D. C. DeBuc, "Investigation of changes in thickness and reflectivity from layered retinal structures of healthy and diabetic eyes with optical coherence tomography," J. Biomed. Sci. Eng. 4, 657–665 (2011).
[8] G. N. Srinivasan, G. Shobha, "Statistical texture analysis," Proc. World Acad. Sci. Eng. Technol. 36, 1264–1269 (2008).
[9] M. Sharma, M. Markou, S. Singh, "Evaluation of texture methods for image analysis," Proc. Seventh Australian and New Zealand Intelligent Information Systems Conference, Perth, 117–121 (2001).
[10] R. M. Haralick, "Statistical and structural approaches to texture," Proc. IEEE 67, 786–804 (1979).
[11] C. Flueraru, D. P. Popescu, Y. Mao, S. Chang, M. G. Sowa, "Added soft tissue contrast using signal attenuation and the fractal dimension for optical coherence tomography images of porcine arterial tissue," Phys. Med. Biol. 55, 2317–2331 (2010).
[12] A. C. Sullivan, J. P. Hunt, A. L. Oldenburg, "Fractal analysis for classification of breast carcinoma in optical coherence tomography," J. Biomed. Optics 16, 066010 (2011).
[13] W. Gao, Improving the quantitative assessment of intraretinal features by determining both structural and optical properties of the retinal tissue with optical coherence tomography, Ph.D Thesis (2012).
[14] M. Hasegawa, J. Liu, K. Okuda, M. Nunobiki, "Calculation of the fractal dimensions of machined surface profiles," Wear 192, 40–45 (1996).
[15] N. Sarkar, B. B. Chaudhuri, "An efficient approach to estimate fractal dimension of textural images," Pattern Recogn. 25, 1035–1041 (1992).
[16] G. Abignano, S. Z. Aydin, C. Castillo-Gallego, V. Liakouli, D. Woods, A. Meekings, R. J. Wake- field, D. G. McGonagle, P. Emery, F. D. Galdo, "Virtual skin biopsy by optical coherence tomography: The first quantitative imaging biomarker for scleroderma," Ann. Rheum. Dis. 72, 1845–1851 (2013).
[17] B. R. Smoller, "Histologic criteria for diagnosing primary cutaneous malignant melanoma," Mod. Pathol. 19, S34–S40 (2006).