Unsupervised scalable anomaly detection: application to medical imaging - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Reports (Research Report) Year : 2022

Dates and versions

hal-03824951 , version 1 (21-10-2022)

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  • HAL Id : hal-03824951 , version 1

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Geoffroy Oudoumanessah, Michel Dojat, Florence Forbes. Unsupervised scalable anomaly detection: application to medical imaging. [Research Report] Inria Grenoble - Rhône-Alpes; Grenoble Institut des neurosciences. 2022, pp.1-43. ⟨hal-03824951⟩
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