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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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Detalhes bibliográficos
Publicado no:IEEE Trans Med Imaging
Main Authors: Rajchl, Martin, Lee, Matthew C. H., Oktay, Ozan, Kamnitsas, Konstantinos, Passerat-Palmbach, Jonathan, Bai, Wenjia, Damodaram, Mellisa, Rutherford, Mary A, Hajnal, Joseph V, Kainz, Bernhard, Rueckert, Daniel
Formato: Artigo
Idioma:Inglês
Publicado em: 2017
Assuntos:
Acesso em linha: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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