{
  "id": 464220,
  "title": "Are Stanford Tissue Microarray Database TMAs Fair Game? (with PNG dataset)",
  "url": "/competitions/UBC-OCEAN/discussion/464220",
  "author_name": "Todd Gardiner",
  "post_date": "2023-12-29T09:37:01.020000",
  "votes": 11,
  "comment_count": 1,
  "views": 0,
  "content": "<p>With only 25 TMAs in the training set, my models aren't performing well in this area. I am looking for more to train my models. I found 20 useful images in the Stanford Tissue Microarray Database (STMD), nearly doubling the training materials. I am cognizant that I must share for the images to be legal.</p>\n<p>STMD Public TMA Blocks: <a href=\"https://tma.im/cgi-bin/viewArrayBlockList.pl\" target=\"_blank\">https://tma.im/cgi-bin/viewArrayBlockList.pl</a><br>\nSTMD Terms of Use (TOU): <a href=\"https://tma.im/cgi-bin/info11.pl\" target=\"_blank\">https://tma.im/cgi-bin/info11.pl</a></p>\n<p>I understand the TOU to be a CC 4.0 non-commercial with attribution license. If I've misjudged, clarity from the judges would be appreciated.</p>\n<p>I am sensitive to the timeline of the contest and community 'last week' etiquette.</p>\n<p>I've published the dataset here for the community to use: </p>\n<ul>\n<li><a href=\"https://www.kaggle.com/datasets/toddgardiner/ovariancancertma-stanforddatabase/data\" target=\"_blank\">https://www.kaggle.com/datasets/toddgardiner/ovariancancertma-stanforddatabase/data</a></li>\n</ul>",
  "messages": [
    {
      "id": 2578479,
      "postDate": "2023-12-29T09:37:01.020Z",
      "content": "<p>With only 25 TMAs in the training set, my models aren't performing well in this area. I am looking for more to train my models. I found 20 useful images in the Stanford Tissue Microarray Database (STMD), nearly doubling the training materials. I am cognizant that I must share for the images to be legal.</p>\n<p>STMD Public TMA Blocks: <a href=\"https://tma.im/cgi-bin/viewArrayBlockList.pl\" target=\"_blank\">https://tma.im/cgi-bin/viewArrayBlockList.pl</a><br>\nSTMD Terms of Use (TOU): <a href=\"https://tma.im/cgi-bin/info11.pl\" target=\"_blank\">https://tma.im/cgi-bin/info11.pl</a></p>\n<p>I understand the TOU to be a CC 4.0 non-commercial with attribution license. If I've misjudged, clarity from the judges would be appreciated.</p>\n<p>I am sensitive to the timeline of the contest and community 'last week' etiquette.</p>\n<p>I've published the dataset here for the community to use: </p>\n<ul>\n<li><a href=\"https://www.kaggle.com/datasets/toddgardiner/ovariancancertma-stanforddatabase/data\" target=\"_blank\">https://www.kaggle.com/datasets/toddgardiner/ovariancancertma-stanforddatabase/data</a></li>\n</ul>",
      "rawMarkdown": "With only 25 TMAs in the training set, my models aren't performing well in this area. I am looking for more to train my models. I found 20 useful images in the Stanford Tissue Microarray Database (STMD), nearly doubling the training materials. I am cognizant that I must share for the images to be legal.\n\nSTMD Public TMA Blocks: https://tma.im/cgi-bin/viewArrayBlockList.pl\nSTMD Terms of Use (TOU): https://tma.im/cgi-bin/info11.pl\n\nI understand the TOU to be a CC 4.0 non-commercial with attribution license. If I've misjudged, clarity from the judges would be appreciated.\n\nI am sensitive to the timeline of the contest and community 'last week' etiquette.\n\nI've published the dataset here for the community to use: \n* https://www.kaggle.com/datasets/toddgardiner/ovariancancertma-stanforddatabase/data\n",
      "votes": 11
    },
    {
      "id": 2580243,
      "postDate": "2023-12-30T17:12:04.170Z",
      "content": "<p>thank you! Regarding time that you spent and concerns you had. am new to kaggler, really like this kaggle community<br>\nThank you for the insights and advice shared here! As a newcomer to Kaggle, I am truly impressed by the supportive community and the depth of knowledge available. I'm eager to dive deeper and learn more with each interaction. Looking forward to being an active part of this amazing community!</p>",
      "rawMarkdown": "thank you! Regarding time that you spent and concerns you had. am new to kaggler, really like this kaggle community\nThank you for the insights and advice shared here! As a newcomer to Kaggle, I am truly impressed by the supportive community and the depth of knowledge available. I'm eager to dive deeper and learn more with each interaction. Looking forward to being an active part of this amazing community!",
      "votes": 1
    }
  ],
  "comments": [
    {
      "id": 2580243,
      "author_name": "mikoesnim",
      "author_url": "",
      "post_date": "2023-12-30T17:12:04.170000",
      "content": "<p>thank you! Regarding time that you spent and concerns you had. am new to kaggler, really like this kaggle community<br>\nThank you for the insights and advice shared here! As a newcomer to Kaggle, I am truly impressed by the supportive community and the depth of knowledge available. I'm eager to dive deeper and learn more with each interaction. Looking forward to being an active part of this amazing community!</p>",
      "votes": 1,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2578479": "With only 25 TMAs in the training set, my models aren't performing well in this area. I am looking for more to train my models. I found 20 useful images in the Stanford Tissue Microarray Database (STMD), nearly doubling the training materials. I am cognizant that I must share for the images to be legal.\n\nSTMD Public TMA Blocks: https://tma.im/cgi-bin/viewArrayBlockList.pl\nSTMD Terms of Use (TOU): https://tma.im/cgi-bin/info11.pl\n\nI understand the TOU to be a CC 4.0 non-commercial with attribution license. If I've misjudged, clarity from the judges would be appreciated.\n\nI am sensitive to the timeline of the contest and community 'last week' etiquette.\n\nI've published the dataset here for the community to use: \n* https://www.kaggle.com/datasets/toddgardiner/ovariancancertma-stanforddatabase/data\n",
    "2580243": "thank you! Regarding time that you spent and concerns you had. am new to kaggler, really like this kaggle community\nThank you for the insights and advice shared here! As a newcomer to Kaggle, I am truly impressed by the supportive community and the depth of knowledge available. I'm eager to dive deeper and learn more with each interaction. Looking forward to being an active part of this amazing community!"
  }
}