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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Xingyue Zhao",
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  "author": "Xingyue Zhao",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [],
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  "defined_in": "https://doi.org/10.48550/arXiv.2407.13553",
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  "defined_in": "https://doi.org/10.48550/arXiv.2407.13553",
            
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  "doi": "10.57702/bu3064p0",
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  "doi": "10.57702/bu3064p0",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-02",
            
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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": "Peiqi Li",
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      "extra_author": "Peiqi Li",
            
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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": "Xiangde Luo",
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      "extra_author": "Xiangde Luo",
            
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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": "Meng Yang",
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      "extra_author": "Meng Yang",
            
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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": "Shi Chang",
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      "extra_author": "Shi Chang",
            
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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": "Zhongyu Li",
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      "extra_author": "Zhongyu Li",
            
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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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      "description": "",
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      "description": "",
            
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      "display_name": "Medical Image Segmentation",
            
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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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      "description": "",
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      "name": "ultrasound",
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      "title": "Ultrasound"
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      "title": "Ultrasound"
            
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  "name": 
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supervised-nodule-segmentation-with-uncertainty-aware-cross-teaching",
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supervised-nodule-segmentation-with-uncertainty-aware-cross-teaching",
            
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  "notes": "Automated nodule segmentation is essential for 
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  "notes": "Automated nodule segmentation is essential for 
            
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computer-assisted diagnosis in ultrasound images. Nevertheless, most 
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computer-assisted diagnosis in ultrasound images. Nevertheless, most 
            
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existing methods depend on precise pixel-level annotations by medical 
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existing methods depend on precise pixel-level annotations by medical 
            
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professionals, a process that is both costly and labor-intensive. 
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professionals, a process that is both costly and labor-intensive. 
            
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Recently, segmentation foundation models like SAM have shown 
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Recently, segmentation foundation models like SAM have shown 
            
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impressive generalizability on natural images, suggesting their 
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impressive generalizability on natural images, suggesting their 
            
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potential as pseudo-labelers.",
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potential as pseudo-labelers.",
            
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      "id": "7c1d4813-c469-4a7c-933f-615ae852baaf",
            
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      "name": "uncertainty-aware cross teaching",
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      "name": "uncertainty-aware cross teaching",
            
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      "state": "active",
            
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      "vocabulary_id": null
            
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    },
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      "display_name": "weakly supervised learning",
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      "display_name": "weakly supervised learning",
            
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      "id": "3e7f9fde-c27c-44f1-80e3-021afdecc1c7",
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      "id": "3e7f9fde-c27c-44f1-80e3-021afdecc1c7",
            
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      "name": "weakly supervised learning",
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      "name": "weakly supervised learning",
            
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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": "SAM-DRIVEN WEAKLY SUPERVISED NODULE SEGMENTATION WITH 
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  "title": "SAM-DRIVEN WEAKLY SUPERVISED NODULE SEGMENTATION WITH 
            
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UNCERTAINTY-AWARE CROSS TEACHING",
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UNCERTAINTY-AWARE CROSS TEACHING",
            
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  "type": "dataset",
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  "version": ""
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  "version": ""
            
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}
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}