Deep Learning for Ocular Disease Recognition: An Inner-Class Balance

It can be challenging for doctors to identify eye disorders early enough using fundus pictures. Diagnosing ocular illnesses by hand is time-consuming, error-prone, and complicated. Therefore, an automated ocular disease detection system with computer-aided tools is necessary to detect various eye di...

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Veröffentlicht in:	Computational intelligence and neuroscience 2022-04, Vol.2022, p.5007111-12
Hauptverfasser:	Khan, Md Shakib, Tafshir, Nafisa, Alam, Kazi Nabiul, Dhruba, Abdur Rab, Khan, Mohammad Monirujjaman, Albraikan, Amani Abdulrahman, Almalki, Faris A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Cataract Cataracts Classification Computers Data mining Datasets Deep Learning Detectors Diagnosis Disorders Eye diseases Eye disorders Glaucoma Image classification Machine learning Macular degeneration Medical imaging Medical imaging equipment Model accuracy Myopia Neural networks Pictures State-of-the-art reviews Visual impairment
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