Feasibility study of unsupervised anomaly detection using Wasserstein GAN in SPECT image

We proposed and investigated the feasibility of an anomaly detection system based on the Wasserstein generative model. Its effectiveness is expected to reduce the workload of human operators.

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Publication Details

Journal
EJNMMI Physics
Published
2025-12-31
DOI
https://doi.org/10.1186/s40658-025-00824-6
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Feasibility study of unsupervised anomaly detection using Wasserstein GAN in SPECT image

Ryosuke Kasai, Hiroaki Otsuka
EJNMMI Physics
Anomaly Detection Techniques and Applications
article

Feasibility study of unsupervised anomaly detection using Wasserstein GAN in SPECT image

Ryosuke Kasai, Hiroaki Otsuka
article en

Abstract

We proposed and investigated the feasibility of an anomaly detection system based on the Wasserstein generative model. Its effectiveness is expected to reduce the workload of human operators.

EJNMMI PhysicsVol. 13(1)
Tokushima University (JP)
Openalex Percentile: Top 17%
Anomaly Detection Techniques and Applications
DOIOpen Access PDFOpenAlex
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Feasibility study of unsupervised anomaly detection using Wasserstein GAN in SPECT image — Ryosuke Kasai, Hiroaki Otsuka · EJNMMI Physics (2025) | TGRS Research Map | TGRS