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Geometry-invariant abnormality detection
Cancer is a highly heterogeneous condition best visualised in positron emission tomography. Due to this heterogeneity, a general-purpose cancer detection model can be built using unsupervised learning anomaly detection models. While prior work in this field has showcased the efficacy of abnormality...
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| Publicado no: | Med Image Comput Comput Assist Interv |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2023
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7616404/ https://ncbi.nlm.nih.gov/pubmed/39206415 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-031-43907-0_29 |
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