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Cited by in F6Publishing
For: Deperlioglu O, Kose U, Gupta D, Khanna A, Giampaolo F, Fortino G. Explainable framework for Glaucoma diagnosis by image processing and convolutional neural network synergy: Analysis with doctor evaluation. Future Generation Computer Systems 2022;129:152-69. [DOI: 10.1016/j.future.2021.11.018] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 7.0] [Reference Citation Analysis]
Number Citing Articles
1 Benvenuto GA, Colnago M, Dias MA, Negri RG, Silva EA, Casaca W. A Fully Unsupervised Deep Learning Framework for Non-Rigid Fundus Image Registration. Bioengineering 2022;9:369. [DOI: 10.3390/bioengineering9080369] [Reference Citation Analysis]
2 Jiang C, Jiang Z, Shi D, Sun G. Analysis Model of Image Colour Data Elements Based on Deep Neural Network. Computational Intelligence and Neuroscience 2022;2022:1-12. [DOI: 10.1155/2022/7631788] [Reference Citation Analysis]
3 Abbas Q, Qureshi I, Yan J, Shaheed K. Machine Learning Methods for Diagnosis of Eye-Related Diseases: A Systematic Review Study Based on Ophthalmic Imaging Modalities. Arch Computat Methods Eng. [DOI: 10.1007/s11831-022-09720-z] [Reference Citation Analysis]
4 Krishnan S, Amudha J, Tejwani S. Gaze Exploration Index (GE i)-Explainable Detection Model for Glaucoma. IEEE Access 2022;10:74334-50. [DOI: 10.1109/access.2022.3188987] [Reference Citation Analysis]