iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network
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London: Nature Publishing Group UK
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English
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Publisher
London: Nature Publishing Group UK
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Contents
We propose iW-Net, a deep learning model that allows for both automatic and interactive segmentation of lung nodules in computed tomography images. iW-Net is composed of two blocks: the first one provides an automatic segmentation and the second one allows to correct it by analyzing 2 points introduced by the user in the nodule’s boundary. For this...
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Full title
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6690893
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6690893
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-019-48004-8
