Published on in Vol 23, No 7 (2021): July
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/23863, first published
.
Journals
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- Miao J, Yu J, Zou W, Su N, Peng Z, Wu X, Huang J, Fang Y, Yuan S, Xie P, Huang K, Chen Q, Hu Z, Liu Q. Deep Learning Models for Segmenting Non-perfusion Area of Color Fundus Photographs in Patients With Branch Retinal Vein Occlusion. Frontiers in Medicine 2022;9 View
- Aranha G, Fernandes R, Morales P. Deep Transfer Learning Strategy to Diagnose Eye-Related Conditions and Diseases: An Approach Based on Low-Quality Fundus Images. IEEE Access 2023;11:37403 View
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- Asare J, Brown-Acquaye W, Ujakpa M, Freeman E, Appiahene P. Application of machine learning approach for iron deficiency anaemia detection in children using conjunctiva images. Informatics in Medicine Unlocked 2024;45:101451 View
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Books/Policy Documents
- Swathishri B, Swetha R. Computational Intelligence in Data Science. View