{
  "id": 175297,
  "title": "Melanoma Classification GAN",
  "url": "/competitions/siim-isic-melanoma-classification/discussion/175297",
  "author_name": "",
  "post_date": "2020-08-17T21:15:52.161627400Z",
  "votes": 1,
  "comment_count": 1,
  "views": 0,
  "content": "<p>This is the 1st completion participated in Kaggle. </p>\n<p>I took below approach:</p>\n<ul>\n<li>Generate more melanoma images using Cycle GAN</li>\n<li>Image Classification using VGG16 model.</li>\n</ul>\n<p>Unfortunately did not able to have a good score, but learnt a lot during practice and also from the forum.</p>\n<p>GAN Model:<br>\n<a href=\"https://www.kaggle.com/a5bhowmik/gan-vgg/notebook\" target=\"_blank\">https://www.kaggle.com/a5bhowmik/gan-vgg/notebook</a></p>\n<p>VGG:<br>\n<a href=\"https://www.kaggle.com/a5bhowmik/melavgg\" target=\"_blank\">https://www.kaggle.com/a5bhowmik/melavgg</a></p>",
  "messages": [
    {
      "id": "974294",
      "postDate": "08/17/2020 21:15:52",
      "content": "<p>This is the 1st completion participated in Kaggle. </p>\n<p>I took below approach:</p>\n<ul>\n<li>Generate more melanoma images using Cycle GAN</li>\n<li>Image Classification using VGG16 model.</li>\n</ul>\n<p>Unfortunately did not able to have a good score, but learnt a lot during practice and also from the forum.</p>\n<p>GAN Model:<br>\n<a href=\"https://www.kaggle.com/a5bhowmik/gan-vgg/notebook\" target=\"_blank\">https://www.kaggle.com/a5bhowmik/gan-vgg/notebook</a></p>\n<p>VGG:<br>\n<a href=\"https://www.kaggle.com/a5bhowmik/melavgg\" target=\"_blank\">https://www.kaggle.com/a5bhowmik/melavgg</a></p>",
      "rawMarkdown": "This is the 1st completion participated in Kaggle. \n\nI took below approach:\n  -  Generate more melanoma images using Cycle GAN\n  -  Image Classification using VGG16 model.\n\nUnfortunately did not able to have a good score, but learnt a lot during practice and also from the forum.\n\nGAN Model:\nhttps://www.kaggle.com/a5bhowmik/gan-vgg/notebook\n\nVGG:\nhttps://www.kaggle.com/a5bhowmik/melavgg",
      "votes": null
    },
    {
      "id": "974351",
      "postDate": "08/17/2020 23:19:21",
      "content": "<p>It is known that it is hard to generate high-resolution images using GANs, even the one GANs competition published on Kaggle was 64x64.  Good luck in other competitions! </p>",
      "rawMarkdown": "It is known that it is hard to generate high-resolution images using GANs, even the one GANs competition published on Kaggle was 64x64.  Good luck in other competitions!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 974351,
      "author_name": "alhasanabdellatif123",
      "author_url": "",
      "post_date": "08/17/2020 23:19:21",
      "content": "<p>It is known that it is hard to generate high-resolution images using GANs, even the one GANs competition published on Kaggle was 64x64.  Good luck in other competitions! </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "974294": "This is the 1st completion participated in Kaggle. \n\nI took below approach:\n  -  Generate more melanoma images using Cycle GAN\n  -  Image Classification using VGG16 model.\n\nUnfortunately did not able to have a good score, but learnt a lot during practice and also from the forum.\n\nGAN Model:\nhttps://www.kaggle.com/a5bhowmik/gan-vgg/notebook\n\nVGG:\nhttps://www.kaggle.com/a5bhowmik/melavgg",
    "974351": "It is known that it is hard to generate high-resolution images using GANs, even the one GANs competition published on Kaggle was 64x64.  Good luck in other competitions!"
  },
  "source": "meta"
}