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  "author": "\u8521\u9f4a\u73cd",
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  "author": "\u8521\u9f4a\u73cd",
            
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  "author_email": "cctsai13@vghtpe.gov.tw",
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  "author_email": "cctsai13@vghtpe.gov.tw",
            
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  "creator_user_id": "7f55ee53-81d3-4d6c-96fa-1da6ead002c0",
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  "creator_user_id": "7f55ee53-81d3-4d6c-96fa-1da6ead002c0",
            
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  "extras": [],
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  "extras": [],
            
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  "groups": [],
            
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  "id": "ce80746c-2e2c-4f4b-b03b-21da07efa81c",
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  "id": "ce80746c-2e2c-4f4b-b03b-21da07efa81c",
            
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  "isopen": false,
            
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  "license_id": "",
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  "license_id": "",
            
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  "license_title": "",
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  "license_title": "",
            
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  "maintainer": "\u9ec3\u51f1\u8fb0",
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  "maintainer": "\u9ec3\u51f1\u8fb0",
            
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  "maintainer_email": "kchuang10@vghtpe.gov.tw",
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  "maintainer_email": "kchuang10@vghtpe.gov.tw",
            
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  "metadata_created": "2022-10-06T03:28:04.003043",
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  "metadata_created": "2022-10-06T03:28:04.003043",
            
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  "metadata_modified": "2022-10-11T03:53:35.247645",
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  "metadata_modified": "2024-06-22T14:20:50.122432",
            
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  "name": "d13-ent",
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  "name": "d13-ent",
            
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  "notes": 
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  "notes": "Using pathological diagnosis as the ground truth, we 
            
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26f\u6027/\u60e1\u6027\u6dcb\u5df4\u7d50\u3002\u6a19\u8a3b\u5f8c\u4ee5 
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collected cervical CT scans of patients who had undergone neck lymph 
            
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DICOM+RTSS\r\n\u6a94\u532f\u51fa\uff0c\u627e\u51fa ROI 
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node dissection surgery. On these preoperative CT images, we 
            
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3001\u6578\u5b78\u5efa\u6a21\r\n\u53ca\u6a21\u578b\u9810\u6e2c\u3002",
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identified and annotated benign and malignant lymph nodes. After 
            
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annotation, we exported the images as DICOM+RTSS files to ensure 
            
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precise data handling. The identified regions of interest (ROI) were 
            
22
then isolated for further analysis. This analysis included feature 
            
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extraction, where we identified specific characteristics of the lymph 
            
24
nodes, mathematical modeling to understand the patterns and 
            
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relationships within the data, and model prediction to forecast 
            
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outcomes based on the extracted features and developed models. This 
            
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comprehensive approach aimed to improve diagnostic accuracy and 
            
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treatment planning for patients with cervical lymph node 
            
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involvement.",
            
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  "num_tags": 3,
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2022-05-20T15:43:19.080718",
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    "created": "2022-05-20T15:43:19.080718",
            
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    "description": "",
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    "description": "The Taipei Veterans General Hospital (Chinese: 
            
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\u53f0\u5317\u69ae\u6c11\u7e3d\u91ab\u9662) is a premier national 
            
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medical center and a teaching hospital in Taiwan, offering tertiary 
            
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patient care, undergraduate medical education programs, and residency 
            
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programs. Established in 1958, it operates under the administration of 
            
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the Veterans Affairs Council. Located in the Beitou District of 
            
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Taipei, the hospital primarily serves patients from the metropolitan 
            
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Taipei area and throughout all regions of Taiwan.",
            
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    "id": "25188a0c-7f13-4562-a5e2-042df726de3c",
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    "id": "25188a0c-7f13-4562-a5e2-042df726de3c",
            
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    "image_url": "2022-05-20-074319.065617vghtpelogo.png",
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    "image_url": "2022-05-20-074319.065617vghtpelogo.png",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "taipei-veterans-general-hospital",
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    "name": "taipei-veterans-general-hospital",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "Taipei Veterans General Hospital",
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    "title": "Taipei Veterans General Hospital",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  },
            
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      "created": "2022-10-06T03:28:21.014021",
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      "format": "PDF",
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      "hash": "",
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      "name": 
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      "name": "D13.csv",
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  ],
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  "state": "active",
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  "state": "active",
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "\u6dcb\u5df4",
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      "display_name": "Cervical",
            
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      "id": "e9714460-159d-48dd-b78f-80b6e4991ea8",
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      "id": "20ea7ff8-b0c0-4e4a-846c-3d82b93afd50",
            
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      "name": "\u6dcb\u5df4",
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      "name": "Cervical",
            
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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": "Lymph Nodes",
            
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      "id": "d1f73c56-f498-4646-b4a7-61f409fc213f",
            
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      "name": "Lymph Nodes",
            
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      "state": "active",
            
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      "vocabulary_id": null
            
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    },
            
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    {
            
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      "display_name": "\u9838\u90e8",
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      "display_name": "Neck",
            
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      "id": "6bc70962-9f67-4728-9517-ee76df219ffe",
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      "id": "3091f2d5-a931-40df-a328-7bb11a6af810",
            
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      "name": "\u9838\u90e8",
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      "name": "Neck",
            
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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": "\u9838\u90e8\u6dcb\u5df4\u7d50",
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  "title": "Cervical Lymp Nodes Dataset",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "url": "",
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  "url": "",
            
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  "version": ""
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  "version": ""
            
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}
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}