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FATHONI

Sistem Informasi

NIDN/NIDK : 0218107201

Lektor

FATHONI

Sistem Informasi

NIDN/NIDK : 0218107201

Lektor

H-INDEX

WoS H-Index : 1

Scopus H-Index : 2

Google H-Index : 5

H-INDEX

WoS H-Index : 1

Scopus H-Index : 2

Google H-Index : 5

WoS Documents

Source by WoS

Total : 1

The Augmentation Data of Retina Image for Blood Vessel Segmentation Using U-Net Convolutional Neural Network Method
Year: 2022
Authors : Erwin; Safmi, A; Desiani, A; Suprihatin, B;
Citation : 0 | IMPACT FACTOR : 0 | IMPACT FACTOR 5 YEAR : 0
Publication Name : INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE AND APPLICATIONS
URL: https://www.webofscience.com/wos/woscc/full-record/WOS:000782411600002