Object detection of hospital assets using computer vision with generative adversarial networks method

Hospital asset monitoring systems encounter significant challenges in managing partially occluded medical equipment, which affects inventory management and operational efficiency. Conventional object detection methods have shown limitations in accurately detecting occluded medical equipment, potenti...

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Bibliographic Details

Main Authors:	Sinung, Suakanto, Muhammad Fahmi, Hidayat, Faqih, Hamami, Anis Farihan, Mat Raffei, Edi, Nuryatno
Format:	Article
Language:	en
Published:	Institut Teknologi Telkom Purwokerto 2025
Subjects:	QA75 Electronic computers. Computer science
Online Access:	https://umpir.ump.edu.my/id/eprint/47091/1/document.pdf https://doi.org/10.20895/infotel.v17i1.1277 https://umpir.ump.edu.my/id/eprint/47091/
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