Bukti Koresponden-A Hybrid CLAHE-GAMMA Adjustment and Densely Connected U-NET for Retinal Blood Vessel Segmentation using Augmentation Data

Erwin, Erwin (2022) Bukti Koresponden-A Hybrid CLAHE-GAMMA Adjustment and Densely Connected U-NET for Retinal Blood Vessel Segmentation using Augmentation Data. International Association of Engineers. (Unpublished)

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Abstract

Bukti Koresponden-A Hybrid CLAHE-GAMMA Adjustment and Densely Connected U-NET for Retinal Blood Vessel Segmentation using Augmentation Data

Item Type: Other
Subjects: #3 Repository of Lecturer Academic Credit Systems (TPAK) > Corresponding Author
Divisions: 09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User: Dr Erwin Erwin
Date Deposited: 19 Apr 2022 14:07
Last Modified: 19 Apr 2022 14:07
URI: http://repository.unsri.ac.id/id/eprint/69092

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