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Semi Supervised Learning with Deep Embedded Clustering for Image Classification and Segmentation

Deep neural networks usually require large labeled datasets to construct accurate models; however, in many real-world scenarios, such as medical image segmentation, labelling data is a time-consuming and costly human (expert) intelligent task. Semi-supervised methods leverage this issue by making us...

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Bibliografiska uppgifter
I publikationen:IEEE Access
Huvudupphovsmän: ENGUEHARD, JOSEPH, O’HALLORAN, PETER, GHOLIPOUR, ALI
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2019
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC6777718/
https://ncbi.nlm.nih.gov/pubmed/31588387
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ACCESS.2019.2891970
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