{
  "id": 176352,
  "title": "Union csv-file and dcm-file",
  "url": "/competitions/osic-pulmonary-fibrosis-progression/discussion/176352",
  "author_name": "Ladanova Sveta",
  "post_date": "2020-08-21T12:23:46.813000",
  "votes": 4,
  "comment_count": 3,
  "views": 0,
  "content": "<p>How to determine which record in the csv-file the dcm-file belongs to?</p>",
  "messages": [
    {
      "id": 980228,
      "postDate": "2020-08-21T12:23:46.813Z",
      "content": "<p>How to determine which record in the csv-file the dcm-file belongs to?</p>",
      "rawMarkdown": "How to determine which record in the csv-file the dcm-file belongs to?",
      "votes": 4
    },
    {
      "id": 980232,
      "postDate": "2020-08-21T12:29:48.877Z",
      "content": "<p>Multiple dcm images represent slices not weeks. CT imaging produces a 3D volume for each scan, this volume consists of 2D slices, each slice is a dcm image in our case. In other words, by stacking 2D images, you get the volume (case or patient). They're all taken at the same time.<br>\nYou can link between the images folders in entries in the CSVs by patient IDs.<br>\nI hope this helps.</p>",
      "rawMarkdown": "Multiple dcm images represent slices not weeks. CT imaging produces a 3D volume for each scan, this volume consists of 2D slices, each slice is a dcm image in our case. In other words, by stacking 2D images, you get the volume (case or patient). They're all taken at the same time.\nYou can link between the images folders in entries in the CSVs by patient IDs.\nI hope this helps.",
      "votes": 1
    },
    {
      "id": 980886,
      "postDate": "2020-08-22T01:05:42.557Z",
      "content": "<p>in csv you join Patient column with file name in train dicom folder or PatientID in dicom file.</p>\n<p>check this :</p>\n<p><a href=\"https://www.kaggle.com/servietsky/osic-transform-dicom-into-dataframe/notebook\" target=\"_blank\">https://www.kaggle.com/servietsky/osic-transform-dicom-into-dataframe/notebook</a></p>",
      "rawMarkdown": "in csv you join Patient column with file name in train dicom folder or PatientID in dicom file.\n\ncheck this :\n\nhttps://www.kaggle.com/servietsky/osic-transform-dicom-into-dataframe/notebook"
    },
    {
      "id": 980441,
      "postDate": "2020-08-21T15:46:57.507Z",
      "rawMarkdown": "",
      "votes": -2,
      "isDeleted": true
    }
  ],
  "comments": [
    {
      "id": 980232,
      "author_name": "Ahmed Shahin",
      "author_url": "",
      "post_date": "2020-08-21T12:29:48.877000",
      "content": "<p>Multiple dcm images represent slices not weeks. CT imaging produces a 3D volume for each scan, this volume consists of 2D slices, each slice is a dcm image in our case. In other words, by stacking 2D images, you get the volume (case or patient). They're all taken at the same time.<br>\nYou can link between the images folders in entries in the CSVs by patient IDs.<br>\nI hope this helps.</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 980886,
      "author_name": "Mehdi GASMI",
      "author_url": "",
      "post_date": "2020-08-22T01:05:42.557000",
      "content": "<p>in csv you join Patient column with file name in train dicom folder or PatientID in dicom file.</p>\n<p>check this :</p>\n<p><a href=\"https://www.kaggle.com/servietsky/osic-transform-dicom-into-dataframe/notebook\" target=\"_blank\">https://www.kaggle.com/servietsky/osic-transform-dicom-into-dataframe/notebook</a></p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 980441,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-08-21T15:46:57.507000",
      "content": "",
      "votes": -2,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "980228": "How to determine which record in the csv-file the dcm-file belongs to?",
    "980232": "Multiple dcm images represent slices not weeks. CT imaging produces a 3D volume for each scan, this volume consists of 2D slices, each slice is a dcm image in our case. In other words, by stacking 2D images, you get the volume (case or patient). They're all taken at the same time.\nYou can link between the images folders in entries in the CSVs by patient IDs.\nI hope this helps.",
    "980886": "in csv you join Patient column with file name in train dicom folder or PatientID in dicom file.\n\ncheck this :\n\nhttps://www.kaggle.com/servietsky/osic-transform-dicom-into-dataframe/notebook",
    "980441": ""
  }
}