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  "access_rights": "",
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  "author": "David Gutman",
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  "author": "Lei Shi",
            
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  "author_email": "",
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  "doi": "10.57702/r4g0elps",
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  "doi": "10.57702/r4g0elps",
            
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  "doi_date_published": "2024-12-16",
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  "doi_date_published": "2024-12-16",
            
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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": "Jorge Bernal",
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      "extra_author": "Tianyu Gao",
            
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      "orcid": ""
            
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    },
            
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    {
            
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      "extra_author": "Zheng Zhang",
            
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      "orcid": ""
            
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    {
            
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      "extra_author": "Junxing Zhang",
            
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      "description": "",
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      "display_name": "Image Segmentation",
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      "name": "image-segmentation",
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      "title": "Image Segmentation"
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      "title": "Medical Image Segmentation"
            
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  "name": "isic-2016",
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  "notes": "Dataset of dermoscopic images for melanoma detection 
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  "notes": "Automated medical image segmentation can assist doctors to 
            
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tasks.",
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diagnose faster and more accurate. Deep learning based models for 
            
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medical image segmentation have made great progress in recent years.",
            
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  "title": "ISIC-2016",
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}
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}