Effective Tensor Based PCA Machine Learning Techniques for Glaucoma Detection and ASPP EffUnet Classification
- Title
- Effective Tensor Based PCA Machine Learning Techniques for Glaucoma Detection and ASPP EffUnet Classification
- Description
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol.13079 LNCS pp.181-192
- Creator
- Venkatachalam K.; Bacanin N.; Kabir E.; Prabu P.
- Source
- <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120047999&doi=10.1007%2f978-3-030-90885-0_17&partnerID=40&md5=cd66cccc257cb1c01c4f0548c3d1b6a2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120047999&doi=10.1007%2f978-3-030-90885-0_17&partnerID=40&md5=cd66cccc257cb1c01c4f0548c3d1b6a2</a>
- Date
- 2021-01-01
Collection
Citation
Venkatachalam K.; Bacanin N.; Kabir E.; Prabu P., “Effective Tensor Based PCA Machine Learning Techniques for Glaucoma Detection and ASPP EffUnet Classification,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/10886.