Bukti Koresponden- IJCIA-Erwin-THE AUGMENTATION DATA OF RETINE IMAGE FOR BLOOD VESSEL SEGMENTATION USING U-NET CONVOLUTIONAL NEURAL NETWORK METHOD

Erwin, Erwin (2022) Bukti Koresponden- IJCIA-Erwin-THE AUGMENTATION DATA OF RETINE IMAGE FOR BLOOD VESSEL SEGMENTATION USING U-NET CONVOLUTIONAL NEURAL NETWORK METHOD. IJCIA. (Unpublished)

[thumbnail of Bukti Koresponden.pdf]
Preview
Text
Bukti Koresponden.pdf

Download (752kB) | Preview

Abstract

Bukti Koresponden- IJCIA-Erwin-THE AUGMENTATION DATA OF RETINE IMAGE FOR BLOOD VESSEL SEGMENTATION USING U-NET CONVOLUTIONAL NEURAL NETWORK METHOD

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: 14 Feb 2022 03:31
Last Modified: 14 Feb 2022 03:31
URI: http://repository.unsri.ac.id/id/eprint/64979

Actions (login required)

View Item View Item