Diagnosis of retinal damage using Resnet rescaling and support vector machine (Resnet-RS-SVM): a case study from an Indian hospital

Behera, Santi Kumari; Mahakud, Rina; Panigrahi, Millee; Sethy, Prabira Kumar; Pati, Rasmikanta

doi:10.1007/s10792-024-03058-0

Int Ophthalmol

2024

DOI: 10.1007/s10792-024-03058-0

|View full text |Cite

Diagnosis of retinal damage using Resnet rescaling and support vector machine (Resnet-RS-SVM): a case study from an Indian hospital

Santi Kumari Behera,

Rina Mahakud,

Millee Panigrahi

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Maximizing steel slice defect detection: Integrating ResNet101 deep features with SVM via Bayesian optimization

Sethy,

Korada,

Behera

et al. 2024

Systems and Soft Computing

View full text Add to dashboard Cite

Maximizing steel slice defect detection: Integrating ResNet101 deep features with SVM via Bayesian optimization

Sethy,

Korada,

Behera

et al. 2024

Systems and Soft Computing

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Diagnosis of retinal damage using Resnet rescaling and support vector machine (Resnet-RS-SVM): a case study from an Indian hospital

Cited by 1 publication

References 26 publications

Maximizing steel slice defect detection: Integrating ResNet101 deep features with SVM via Bayesian optimization

Maximizing steel slice defect detection: Integrating ResNet101 deep features with SVM via Bayesian optimization

Contact Info

Product

Resources

About