Robust Few Shot Biological Pathology Classification via Optimized Contrastive MobileNetV2: A Transferable Model for Low Resource Medical Imaging

Artificial intelligence has revolutionized computational diagnostics, however deploying reliable intelligent systems in extreme low-resource environments remains a critical structural challenge in health informatics. Conventional deep learning architectures, such as standard Convolutional Neural Net...

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Prif Awduron:	Nurul Adi Prawira, Muhammad Firmansyah, Dhendra Marutho, Achraf Ouhab
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	Universitas Muhammadiyah Semarang 2026-03-01
Cyfres:	Journal of Intelligent Computing and Health Informatics
Pynciau:	few-shot learning contrastive learning mobilenetv2 health informatics edge computing cross-domain proxy
Mynediad Ar-lein:	https://jurnal.unimus.ac.id/index.php/ICHI/article/view/20179
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!