{
  "id": 174571,
  "title": "Picture number in each patients",
  "url": "/competitions/osic-pulmonary-fibrosis-progression/discussion/174571",
  "author_name": "",
  "post_date": "2020-08-14T06:02:40.564796600Z",
  "votes": null,
  "comment_count": 6,
  "views": 0,
  "content": "<p>This is my first image competition and question. I wonder if anyone could give me advice.</p>\n<p>I manage to use test picture data in each 5 patients. Each patients have various numbers of pictures. These picture number and their sequence have any meaning? Do you use all those pictures to predict FVC?</p>",
  "messages": [
    {
      "id": "970013",
      "postDate": "08/14/2020 06:02:40",
      "content": "<p>This is my first image competition and question. I wonder if anyone could give me advice.</p>\n<p>I manage to use test picture data in each 5 patients. Each patients have various numbers of pictures. These picture number and their sequence have any meaning? Do you use all those pictures to predict FVC?</p>",
      "rawMarkdown": "This is my first image competition and question. I wonder if anyone could give me advice.\n\nI manage to use test picture data in each 5 patients. Each patients have various numbers of pictures. These picture number and their sequence have any meaning? Do you use all those pictures to predict FVC?",
      "votes": null
    },
    {
      "id": "970200",
      "postDate": "08/14/2020 09:24:35",
      "content": "<p>I suggest you read more on the competition. These are ct scans and they can be thought of as a stack on images in a sense since they are trying to depict the structure of the lung through many cross sectional area snapshots. They have units which are related to the absorbance of radiation rather than a colour property </p>",
      "rawMarkdown": "I suggest you read more on the competition. These are ct scans and they can be thought of as a stack on images in a sense since they are trying to depict the structure of the lung through many cross sectional area snapshots. They have units which are related to the absorbance of radiation rather than a colour property",
      "votes": null
    },
    {
      "id": "970544",
      "postDate": "08/14/2020 14:49:00",
      "content": "<p>The file number for the dicom images is used to create a 3D image out of those pictures. The pictures are supposed to be stacked in the order of their file numbers to create the 3D image. Different patients have different number of dicom images but all the dicom images in a single patients folder represents one CT scan taken in a single day for that particular patient <strong>i.e. there is only one image per patient but multiple slices</strong><br>\nSomeone correct me if I'm wrong.</p>",
      "rawMarkdown": "The file number for the dicom images is used to create a 3D image out of those pictures. The pictures are supposed to be stacked in the order of their file numbers to create the 3D image. Different patients have different number of dicom images but all the dicom images in a single patients folder represents one CT scan taken in a single day for that particular patient **i.e. there is only one image per patient but multiple slices**\nSomeone correct me if I'm wrong.",
      "votes": null
    },
    {
      "id": "970575",
      "postDate": "08/14/2020 15:19:59",
      "content": "<p><a href=\"https://www.kaggle.com/c/osic-pulmonary-fibrosis-progression/discussion/164925#919451\" target=\"_blank\">https://www.kaggle.com/c/osic-pulmonary-fibrosis-progression/discussion/164925#919451</a><br>\n<em>\"Multiple dcm images represent slices. 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. I hope this helps.\"</em></p>",
      "rawMarkdown": "https://www.kaggle.com/c/osic-pulmonary-fibrosis-progression/discussion/164925#919451\n*\"Multiple dcm images represent slices. 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. I hope this helps.\"*",
      "votes": null
    },
    {
      "id": "970890",
      "postDate": "08/15/2020 00:35:50",
      "content": "<p>I understood. Thank you very much! </p>",
      "rawMarkdown": "I understood. Thank you very much!",
      "votes": null
    },
    {
      "id": "970891",
      "postDate": "08/15/2020 00:41:12",
      "content": "<p>I understood those number sequence. Thank you for detail explanation. </p>",
      "rawMarkdown": "I understood those number sequence. Thank you for detail explanation.",
      "votes": null
    },
    {
      "id": "970894",
      "postDate": "08/15/2020 00:44:17",
      "content": "<p>I understood. Thank you very much! </p>",
      "rawMarkdown": "I understood. Thank you very much!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 970200,
      "author_name": "lgreig",
      "author_url": "",
      "post_date": "08/14/2020 09:24:35",
      "content": "<p>I suggest you read more on the competition. These are ct scans and they can be thought of as a stack on images in a sense since they are trying to depict the structure of the lung through many cross sectional area snapshots. They have units which are related to the absorbance of radiation rather than a colour property </p>",
      "votes": null,
      "replies": [
        {
          "id": 970894,
          "author_name": "kitakuriya315",
          "author_url": "",
          "post_date": "08/15/2020 00:44:17",
          "content": "<p>I understood. Thank you very much! </p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 970544,
      "author_name": "jonykarki",
      "author_url": "",
      "post_date": "08/14/2020 14:49:00",
      "content": "<p>The file number for the dicom images is used to create a 3D image out of those pictures. The pictures are supposed to be stacked in the order of their file numbers to create the 3D image. Different patients have different number of dicom images but all the dicom images in a single patients folder represents one CT scan taken in a single day for that particular patient <strong>i.e. there is only one image per patient but multiple slices</strong><br>\nSomeone correct me if I'm wrong.</p>",
      "votes": null,
      "replies": [
        {
          "id": 970891,
          "author_name": "kitakuriya315",
          "author_url": "",
          "post_date": "08/15/2020 00:41:12",
          "content": "<p>I understood those number sequence. Thank you for detail explanation. </p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 970575,
      "author_name": "ahmedhshahin",
      "author_url": "",
      "post_date": "08/14/2020 15:19:59",
      "content": "<p><a href=\"https://www.kaggle.com/c/osic-pulmonary-fibrosis-progression/discussion/164925#919451\" target=\"_blank\">https://www.kaggle.com/c/osic-pulmonary-fibrosis-progression/discussion/164925#919451</a><br>\n<em>\"Multiple dcm images represent slices. 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. I hope this helps.\"</em></p>",
      "votes": null,
      "replies": [
        {
          "id": 970890,
          "author_name": "kitakuriya315",
          "author_url": "",
          "post_date": "08/15/2020 00:35:50",
          "content": "<p>I understood. Thank you very much! </p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "970013": "This is my first image competition and question. I wonder if anyone could give me advice.\n\nI manage to use test picture data in each 5 patients. Each patients have various numbers of pictures. These picture number and their sequence have any meaning? Do you use all those pictures to predict FVC?",
    "970200": "I suggest you read more on the competition. These are ct scans and they can be thought of as a stack on images in a sense since they are trying to depict the structure of the lung through many cross sectional area snapshots. They have units which are related to the absorbance of radiation rather than a colour property",
    "970544": "The file number for the dicom images is used to create a 3D image out of those pictures. The pictures are supposed to be stacked in the order of their file numbers to create the 3D image. Different patients have different number of dicom images but all the dicom images in a single patients folder represents one CT scan taken in a single day for that particular patient **i.e. there is only one image per patient but multiple slices**\nSomeone correct me if I'm wrong.",
    "970575": "https://www.kaggle.com/c/osic-pulmonary-fibrosis-progression/discussion/164925#919451\n*\"Multiple dcm images represent slices. 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. I hope this helps.\"*",
    "970890": "I understood. Thank you very much!",
    "970891": "I understood those number sequence. Thank you for detail explanation.",
    "970894": "I understood. Thank you very much!"
  },
  "source": "meta"
}