Deep learning enabled optimized feature selection and classification for grading diabetic retinopathy severity in the fundus image.

MLA

Dayana, A.Mary, and W. R.Sam Emmanuel. “Deep Learning Enabled Optimized Feature Selection and Classification for Grading Diabetic Retinopathy Severity in the Fundus Image.” Neural Computing & Applications, vol. 34, no. 21, Nov. 2022, pp. 18663–83. EBSCOhost, https://doi.org/10.1007/s00521-022-07471-3.

APA

Dayana, A. M., & Emmanuel, W. R. S. (2022). Deep learning enabled optimized feature selection and classification for grading diabetic retinopathy severity in the fundus image. Neural Computing & Applications, 34(21), 18663–18683. https://doi.org/10.1007/s00521-022-07471-3

Chicago

Dayana, A. Mary, and W. R. Sam Emmanuel. 2022. “Deep Learning Enabled Optimized Feature Selection and Classification for Grading Diabetic Retinopathy Severity in the Fundus Image.” Neural Computing & Applications 34 (21): 18663–83. doi:10.1007/s00521-022-07471-3.