{
  "id": 510334,
  "title": "Starter Notebook!",
  "url": "/competitions/rsna-2024-lumbar-spine-degenerative-classification/discussion/510334",
  "author_name": "",
  "post_date": "2024-06-05T19:03:43.861621700Z",
  "votes": 23,
  "comment_count": 12,
  "views": 0,
  "content": "<p>Hello Guys, </p>\n<p>I hope everyont's doing well. For those interested in using deep learning models, especially around PyTorch for the competition. I have created a starter notebook, for you to use as a template. </p>\n<p>The notebook tries to handle all the data organizations, data preprocessing and preparation, and create a pipeline to add your own deep learning models. In my opinion, most of the problems from the competitions data have been addressed here. </p>\n<p>Please, check it out and throw a like if you find it useful.</p>\n<p>Check it out here: <a href=\"https://www.kaggle.com/code/shubhamcodez/rsna-resnet-starter-notebook?kernelSessionId=181703193\" target=\"_blank\">https://www.kaggle.com/code/shubhamcodez/rsna-resnet-starter-notebook?kernelSessionId=181703193</a></p>",
  "messages": [
    {
      "id": "2857253",
      "postDate": "06/05/2024 19:03:43",
      "content": "<p>Hello Guys, </p>\n<p>I hope everyont's doing well. For those interested in using deep learning models, especially around PyTorch for the competition. I have created a starter notebook, for you to use as a template. </p>\n<p>The notebook tries to handle all the data organizations, data preprocessing and preparation, and create a pipeline to add your own deep learning models. In my opinion, most of the problems from the competitions data have been addressed here. </p>\n<p>Please, check it out and throw a like if you find it useful.</p>\n<p>Check it out here: <a href=\"https://www.kaggle.com/code/shubhamcodez/rsna-resnet-starter-notebook?kernelSessionId=181703193\" target=\"_blank\">https://www.kaggle.com/code/shubhamcodez/rsna-resnet-starter-notebook?kernelSessionId=181703193</a></p>",
      "rawMarkdown": "Hello Guys, \n\nI hope everyont's doing well. For those interested in using deep learning models, especially around PyTorch for the competition. I have created a starter notebook, for you to use as a template. \n\nThe notebook tries to handle all the data organizations, data preprocessing and preparation, and create a pipeline to add your own deep learning models. In my opinion, most of the problems from the competitions data have been addressed here. \n\nPlease, check it out and throw a like if you find it useful.\n\nCheck it out here: https://www.kaggle.com/code/shubhamcodez/rsna-resnet-starter-notebook?kernelSessionId=181703193",
      "votes": null
    },
    {
      "id": "2868478",
      "postDate": "06/12/2024 11:58:44",
      "content": "<p>thanks for sharing</p>",
      "rawMarkdown": "thanks for sharing",
      "votes": null
    },
    {
      "id": "2868600",
      "postDate": "06/12/2024 14:03:21",
      "content": "<p>Thank you!</p>\n<p>One question i'd like to ask though, when evaluating the model on testing data, should all images inside a series_id be taken into consideration when evaluating or just a singular image?</p>",
      "rawMarkdown": "Thank you!\n\nOne question i'd like to ask though, when evaluating the model on testing data, should all images inside a series_id be taken into consideration when evaluating or just a singular image?",
      "votes": null
    },
    {
      "id": "2868754",
      "postDate": "06/12/2024 15:46:10",
      "content": "<p>Thank you for the appreciation. </p>\n<p>I am taking all the images into consideration and then taking average. </p>",
      "rawMarkdown": "Thank you for the appreciation. \n\nI am taking all the images into consideration and then taking average.",
      "votes": null
    },
    {
      "id": "2868755",
      "postDate": "06/12/2024 15:46:25",
      "content": "<p>Thank you for the appreciation.</p>",
      "rawMarkdown": "Thank you for the appreciation.",
      "votes": null
    },
    {
      "id": "2869305",
      "postDate": "06/13/2024 02:38:00",
      "content": "<p>Thank you so much !</p>",
      "rawMarkdown": "Thank you so much !",
      "votes": null
    },
    {
      "id": "2869422",
      "postDate": "06/13/2024 05:10:34",
      "content": "<p>I hope you find it useful. </p>",
      "rawMarkdown": "I hope you find it useful.",
      "votes": null
    },
    {
      "id": "2870252",
      "postDate": "06/13/2024 13:36:45",
      "content": "<p>Thanks for sharing!</p>",
      "rawMarkdown": "Thanks for sharing!",
      "votes": null
    },
    {
      "id": "2872079",
      "postDate": "06/14/2024 15:11:02",
      "content": "<p>Thanks - looks helpful! </p>",
      "rawMarkdown": "Thanks - looks helpful!",
      "votes": null
    },
    {
      "id": "2872161",
      "postDate": "06/14/2024 15:57:08",
      "content": "<p>Thank for starter notebook bro. it is useful for me. First of all, the data retrieval part was very helpful to me.</p>",
      "rawMarkdown": "Thank for starter notebook bro. it is useful for me. First of all, the data retrieval part was very helpful to me.",
      "votes": null
    },
    {
      "id": "2872689",
      "postDate": "06/15/2024 01:27:54",
      "content": "<p>Thank you for your kind words. </p>",
      "rawMarkdown": "Thank you for your kind words.",
      "votes": null
    },
    {
      "id": "2872691",
      "postDate": "06/15/2024 01:28:11",
      "content": "<p>Thank you for appreciate the compliments. </p>",
      "rawMarkdown": "Thank you for appreciate the compliments.",
      "votes": null
    },
    {
      "id": "2872692",
      "postDate": "06/15/2024 01:28:42",
      "content": "<p>Thank you for the compliments, I will try to keep improving the notebook in coming days.</p>",
      "rawMarkdown": "Thank you for the compliments, I will try to keep improving the notebook in coming days.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2868478,
      "author_name": "pushpanderkumar",
      "author_url": "",
      "post_date": "06/12/2024 11:58:44",
      "content": "<p>thanks for sharing</p>",
      "votes": null,
      "replies": [
        {
          "id": 2868755,
          "author_name": "shubhamcodez",
          "author_url": "",
          "post_date": "06/12/2024 15:46:25",
          "content": "<p>Thank you for the appreciation.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 2868600,
      "author_name": "osamahelradaideh",
      "author_url": "",
      "post_date": "06/12/2024 14:03:21",
      "content": "<p>Thank you!</p>\n<p>One question i'd like to ask though, when evaluating the model on testing data, should all images inside a series_id be taken into consideration when evaluating or just a singular image?</p>",
      "votes": null,
      "replies": [
        {
          "id": 2868754,
          "author_name": "shubhamcodez",
          "author_url": "",
          "post_date": "06/12/2024 15:46:10",
          "content": "<p>Thank you for the appreciation. </p>\n<p>I am taking all the images into consideration and then taking average. </p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 2869305,
      "author_name": "octavecharrin",
      "author_url": "",
      "post_date": "06/13/2024 02:38:00",
      "content": "<p>Thank you so much !</p>",
      "votes": null,
      "replies": [
        {
          "id": 2869422,
          "author_name": "shubhamcodez",
          "author_url": "",
          "post_date": "06/13/2024 05:10:34",
          "content": "<p>I hope you find it useful. </p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 2870252,
      "author_name": "bi199797",
      "author_url": "",
      "post_date": "06/13/2024 13:36:45",
      "content": "<p>Thanks for sharing!</p>",
      "votes": null,
      "replies": [
        {
          "id": 2872691,
          "author_name": "shubhamcodez",
          "author_url": "",
          "post_date": "06/15/2024 01:28:11",
          "content": "<p>Thank you for appreciate the compliments. </p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 2872079,
      "author_name": "robertcronshaw",
      "author_url": "",
      "post_date": "06/14/2024 15:11:02",
      "content": "<p>Thanks - looks helpful! </p>",
      "votes": null,
      "replies": [
        {
          "id": 2872689,
          "author_name": "shubhamcodez",
          "author_url": "",
          "post_date": "06/15/2024 01:27:54",
          "content": "<p>Thank you for your kind words. </p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 2872161,
      "author_name": "muratourlu",
      "author_url": "",
      "post_date": "06/14/2024 15:57:08",
      "content": "<p>Thank for starter notebook bro. it is useful for me. First of all, the data retrieval part was very helpful to me.</p>",
      "votes": null,
      "replies": [
        {
          "id": 2872692,
          "author_name": "shubhamcodez",
          "author_url": "",
          "post_date": "06/15/2024 01:28:42",
          "content": "<p>Thank you for the compliments, I will try to keep improving the notebook in coming days.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2857253": "Hello Guys, \n\nI hope everyont's doing well. For those interested in using deep learning models, especially around PyTorch for the competition. I have created a starter notebook, for you to use as a template. \n\nThe notebook tries to handle all the data organizations, data preprocessing and preparation, and create a pipeline to add your own deep learning models. In my opinion, most of the problems from the competitions data have been addressed here. \n\nPlease, check it out and throw a like if you find it useful.\n\nCheck it out here: https://www.kaggle.com/code/shubhamcodez/rsna-resnet-starter-notebook?kernelSessionId=181703193",
    "2868478": "thanks for sharing",
    "2868600": "Thank you!\n\nOne question i'd like to ask though, when evaluating the model on testing data, should all images inside a series_id be taken into consideration when evaluating or just a singular image?",
    "2868754": "Thank you for the appreciation. \n\nI am taking all the images into consideration and then taking average.",
    "2868755": "Thank you for the appreciation.",
    "2869305": "Thank you so much !",
    "2869422": "I hope you find it useful.",
    "2870252": "Thanks for sharing!",
    "2872079": "Thanks - looks helpful!",
    "2872161": "Thank for starter notebook bro. it is useful for me. First of all, the data retrieval part was very helpful to me.",
    "2872689": "Thank you for your kind words.",
    "2872691": "Thank you for appreciate the compliments.",
    "2872692": "Thank you for the compliments, I will try to keep improving the notebook in coming days."
  },
  "source": "meta"
}