TURNITIN Identify the Severity of Cirrhosis Based on the Level of AST and ALT Enzymes Using Image Processing Approach and K-Means Clustering Method

Arianti.et.all., Nunik Destria (2019) TURNITIN Identify the Severity of Cirrhosis Based on the Level of AST and ALT Enzymes Using Image Processing Approach and K-Means Clustering Method. ICCED.

Official Full-Text Document(s)

Text (TURNITIN)
ICI 2019 Nunik.pdf.pdf
Download (852kB) Open Access

Bibliographic Details EPrint ID: 305

Item Type:	Article
Subjects:	Computer > Computer Science
Divisions:	Faculty of Engineering, Computer and Design > Information System
Depositing User:	LIU Library Unit
Date Deposited:	06 Oct 2022 06:51
Last Modified:	06 Oct 2022 06:51
URI / Permalink:	https://repository.nusaputra.ac.id/id/eprint/305

Item Analytics & Repository Metrics

Indexed in Nusa Putra University Repository with full-text harvesting protocol enabled.

View Repository Statistics