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Study of the Noise Level in the Colour Fundus Images., и . ICDS, том 9208 из Lecture Notes in Computer Science, стр. 159-168. Springer, (2015)Identification of noise in the fundus images., , , , и . ICCSCE, стр. 191-196. IEEE, (2013)Neural network based denoised methods for retinal fundus images and MRI brain images., и . IJCNN, стр. 1151-1157. IEEE, (2016)An Active Contour Model Based on Region Based Fitting Terms Driven by p-Laplace Length Regularization., , и . IEEE Access, (2018)Active Contours Using Additive Local and Global Intensity Fitting Models for Intensity Inhomogeneous Image Segmentation., , , , и . Comput. Math. Methods Medicine, (2016)Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss., , , , , и . DICTA, стр. 1-8. IEEE, (2018)An Improved Infrared and Visible Image Fusion Using an Adaptive Contrast Enhancement Method and Deep Learning Network with Transfer Learning., , , , , и . Remote. Sens., 14 (4): 939 (2022)Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research., , , , , и . Artif. Intell. Rev., 55 (2): 1409-1439 (2022)Impact of Image Enhancement Technique on CNN Model for Retinal Blood Vessels Segmentation., , , , , , , и . IEEE Access, (2019)Impact of ICA-Based Image Enhancement Technique on Retinal Blood Vessels Segmentation., , , , , и . IEEE Access, (2018)