1. Yu, H., Barriga, S., Agurto, S., Zamora, G., Bauman, W., Soliz, P.: Fast vessel segmentation in retinal images using multiscale enhancement and second-order local entropy. Medical Imaging 2012: Computer-Aided Diagnosis, Proc. of SPIE 8315(83151B-1), 1–12 (2012)
2. Annunziata, R., Garzelli, A., Ballerini, L., Mecocci, A., Trucco, E.: Leveraging multiscale hessian-based enhancement with a novel exudate inpainting technique for retinal vessel segmentation. IEEE J. Biomed. Health Inform. 00, 1–11 (2015)
3. Ravichandran, C., Raja, J.B.: A fast enhancement/thresholding based blood vessel segmentation for retinal image using contrast limited adaptive histogram equalization. J. Med. Imaging Health Inf. 4(4), 567–575 (2014)
4. Khan, B.K., Khaliq, A.A., Shahid, M.: A morphological hessian based approach for retinal blood vessels segmentation and denoising using region based otsu thresholding. Plos One 11(7):e0158996, pp. 1–19 (2016)
5. Emary, E., Zawbaa, H.M., Hassanien, A.E., Parv, B.: Multi-objective retinal vessel localization using flower pollination search algorithm with Pattern search. Adv. Data Anal. Classif. (Springer, Berlin Heidelberg, 2016), pp. 1–17