Dual-Mode Deep Anomaly Detection for Medical Manufacturing: Structural Similarity and Feature Distance

Research output: Working paper › Preprint

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title = "Dual-Mode Deep Anomaly Detection for Medical Manufacturing: Structural Similarity and Feature Distance",

author = "Diaz, \{Julio Zanon\} and Georgios Siogkas and Peter Corcoran",

year = "2025",

doi = "10.48550/ARXIV.2509.05796",

language = "Undefined/Unknown",

volume = "abs/2509.05796",

series = "CoRR",

type = "WorkingPaper",

}

TY - UNPB

T1 - Dual-Mode Deep Anomaly Detection for Medical Manufacturing: Structural Similarity and Feature Distance

AU - Diaz, Julio Zanon

AU - Siogkas, Georgios

AU - Corcoran, Peter

PY - 2025

Y1 - 2025

U2 - 10.48550/ARXIV.2509.05796

DO - 10.48550/ARXIV.2509.05796

M3 - Preprint

VL - abs/2509.05796

T3 - CoRR

BT - Dual-Mode Deep Anomaly Detection for Medical Manufacturing: Structural Similarity and Feature Distance

ER -