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DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks
In this paper, we propose DeepCut, a method to obtain pixelwise object segmentations given an image dataset labelled weak annotations, in our case bounding boxes. It extends the approach of the well-known GrabCut [1] method to include machine learning by training a neural network classifier from bou...
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| Publicat a: | IEEE Trans Med Imaging |
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| Autors principals: | , , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7115996/ https://ncbi.nlm.nih.gov/pubmed/27845654 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2016.2621185 |
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