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  "access_rights": "",
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  "author": "Holger R. Roth",
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  "author": "Holger R. Roth",
            
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  "doi": "10.57702/h41e0ga7",
            
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  "doi_date_published": "2024-12-03",
            
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Hirohisa Oda",
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      "extra_author": "Hirohisa Oda",
            
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Yuichiro Hayashi",
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      "extra_author": "Yuichiro Hayashi",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Masahiro Oda",
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      "extra_author": "Masahiro Oda",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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      "extra_author": "Natsuki Shimizu",
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      "extra_author": "Natsuki Shimizu",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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      "extra_author": "Michitaka Fujiwara",
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      "extra_author": "Michitaka Fujiwara",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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      "extra_author": "Kazunari Misawa",
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      "extra_author": "Kazunari Misawa",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Kensaku Mori",
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      "extra_author": "Kensaku Mori",
            
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      "orcid": ""
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      "orcid": ""
            
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  "name": 
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  "name": 
            
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rchical-3d-fully-convolutional-networks-for-multi-organ-segmentation",
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rchical-3d-fully-convolutional-networks-for-multi-organ-segmentation",
            
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  "notes": "A two-stage, coarse-to-fine approach that trains an FCN 
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  "notes": "A two-stage, coarse-to-fine approach that trains an FCN 
            
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model to roughly delineate the organs of interest in the first stage 
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model to roughly delineate the organs of interest in the first stage 
            
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and then uses these predictions of the first-stage FCN to define a 
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and then uses these predictions of the first-stage FCN to define a 
            
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candidate region that will be used to train a second FCN.",
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candidate region that will be used to train a second FCN.",
            
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      "display_name": "3D convolutional networks",
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      "display_name": "multi-organ segmentation",
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      "display_name": "multi-organ segmentation",
            
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      "id": "d121c35a-d00c-41a3-b788-17ff93d49ba2",
            
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      "name": "multi-organ segmentation",
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  ],
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  "title": "Hierarchical 3D fully convolutional networks for 
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  "title": "Hierarchical 3D fully convolutional networks for 
            
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multi-organ segmentation",
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multi-organ segmentation",
            
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  "type": "dataset",
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  "version": ""
            
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}
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}