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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Tal Shaharabany",
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  "author": "Tal Shaharabany",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [
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  "citation": [
            
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    "https://doi.org/10.1016/j.eswa.2023.122093",
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    "https://doi.org/10.1016/j.eswa.2023.122093",
            
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    "https://doi.org/10.48550/arXiv.2306.06370"
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    "https://doi.org/10.48550/arXiv.2306.06370"
            
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  ],
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  ],
            
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
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  "defined_in": "https://doi.org/10.1109/TMI.2024.3453492",
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  "defined_in": "https://doi.org/10.1109/TMI.2024.3453492",
            
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  "doi": "10.57702/pzlxhphv",
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  "doi": "10.57702/pzlxhphv",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-02",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "domain": "https://service.tib.eu/ldmservice",
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  "domain": "https://service.tib.eu/ldmservice",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Aviad Dahan",
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      "extra_author": "Aviad Dahan",
            
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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": "Raja Giryes",
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      "extra_author": "Raja Giryes",
            
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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": "Lior Wolf",
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      "extra_author": "Lior Wolf",
            
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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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  "groups": [
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Histopathological Image Classification",
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      "display_name": "Histopathological Image Classification",
            
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      "id": "42c7e6d7-88f9-4f47-8d6f-7097ed56ce87",
            
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      "image_display_url": "",
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      "name": "histopathological-image-classification",
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      "name": "histopathological-image-classification",
            
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      "title": "Histopathological Image Classification"
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      "title": "Histopathological Image Classification"
            
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    },
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Medical Image Segmentation",
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      "display_name": "Medical Image Segmentation",
            
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      "id": "30b6f278-a6f5-4a21-8a07-80737406cc87",
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      "name": "medical-image-segmentation",
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      "name": "medical-image-segmentation",
            
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      "title": "Medical Image Segmentation"
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      "title": "Medical Image Segmentation"
            
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    },
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Pathological Image Segmentation",
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      "display_name": "Pathological Image Segmentation",
            
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      "name": "pathological-image-segmentation",
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      "name": "pathological-image-segmentation",
            
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      "title": "Pathological Image Segmentation"
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      "title": "Pathological Image Segmentation"
            
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    }
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    }
            
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  ],
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  "id": "d29d772c-6101-4764-a7d1-b9661876591d",
            
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  "isopen": false,
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  "isopen": false,
            
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  "landing_page": "https://www.munuseg.com/",
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  "landing_page": "https://www.munuseg.com/",
            
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  "license_title": null,
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  "license_title": null,
            
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  "link_orkg": "",
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  "link_orkg": "",
            
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  "metadata_created": "2024-12-02T18:00:50.440593",
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  "metadata_modified": "2024-12-02T18:00:50.850981",
            
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  "name": "monuseg",
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  "name": "monuseg",
            
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  "notes": "The MoNuSeg dataset comprises 30 microscopic images from 
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  "notes": "The MoNuSeg dataset comprises 30 microscopic images from 
            
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seven organs in the training set, with annotations of 21,623 
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seven organs in the training set, with annotations of 21,623 
            
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individual nuclei, and 14 similar images in the test set.",
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individual nuclei, and 14 similar images in the test set.",
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2024-11-25T12:11:38.292601",
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      "created": "2024-12-02T18:38:42",
            
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      "data": [
            
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      "description": "The json representation of the dataset with its 
            
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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      "hash": "",
            
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      "id": "25094f23-e881-4a87-933e-7d0cf7a62889",
            
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      "last_modified": "2024-12-02T18:00:50.837371",
            
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      "name": "Original Metadata",
            
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  "tags": [
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  "tags": [
            
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    {
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      "display_name": "2D Segmentation",
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      "display_name": "2D Segmentation",
            
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    },
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    {
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    {
            
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      "display_name": "Histopathological Images",
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      "display_name": "Histopathological Images",
            
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      "id": "2408aced-ef68-424d-b380-d7d3f0e73d34",
            
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      "name": "Histopathological Images",
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      "name": "Histopathological Images",
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "Medical Image Segmentation",
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      "display_name": "Medical Image Segmentation",
            
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      "id": "a90cdc4c-84c9-4603-8c0e-8e18a0ff936f",
            
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      "name": "Medical Image Segmentation",
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    },
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    },
            
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    {
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    {
            
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      "display_name": "Nuclei Segmentation",
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      "name": "Nuclei Segmentation",
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    {
            
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      "display_name": "nuclear boundaries",
            
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    {
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    {
            
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      "display_name": "nuclei",
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      "display_name": "nuclei",
            
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      "id": "b77ba29b-e25a-48b8-bc40-158ee81fb065",
            
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      "name": "nuclei",
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    },
            
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      "name": "nuclei segmentation",
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      "state": "active",
            
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    },
            
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    {
            
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      "display_name": "pathological image segmentation",
            
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      "id": "76e63cad-dae4-443a-87b9-e847ae1d5ae3",
            
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      "name": "pathological image segmentation",
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      "name": "pathological image segmentation",
            
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      "state": "active",
            
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      "vocabulary_id": null
            
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    {
            
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      "display_name": "segmentation",
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      "display_name": "segmentation",
            
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      "id": "7ce0e509-9f57-44c4-a015-f1ab9872bb44",
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      "id": "7ce0e509-9f57-44c4-a015-f1ab9872bb44",
            
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      "name": "segmentation",
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      "name": "segmentation",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "tissue segmentation",
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      "display_name": "tissue segmentation",
            
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      "id": "831ccc42-9d65-4b55-b188-eb8619613aeb",
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      "id": "831ccc42-9d65-4b55-b188-eb8619613aeb",
            
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      "name": "tissue segmentation",
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      "name": "tissue segmentation",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "MoNuSeg",
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  "title": "MoNuSeg",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}