October 6, 2017 Dataset Open Access

Sara Moccia; Elena De Momi; Leonardo S. Mattos

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{
  "description": "<p>The dataset in <em><strong>laryngeal dataset.tar </strong></em>contains 1320 patches of healthy and early-stage cancerous laryngeal tissues. The patches (100x100 pixels) were manually extracted from 33 narrow-band laryngoscopic images of 33 different patients affected by laryngeal spinocellular carcinoma (diagnosed after histopathological examination).</p>\n\n<p>Specifically, four tissue classes were considered (330 patches/tissue class): He (healthy tissue), Hbv (tissue with hypertrophic vessels), Le (tissue with leukoplakia) and IPCL (tissue with intrapapillary capillary loops).</p>\n\n<p>The dataset was created for testing the method proposed in <em>Moccia, Sara, et al. \"Confident texture-based laryngeal tissue classification for early stage diagnosis support.\" JOURNAL OF MEDICAL IMAGING 4.03 (2017): 1-10.</em></p>\n\n<p>The folder<em> <strong>laryngeal dataset.tar</strong> </em>contains 3 subfolders (FOLD 1, FOLD 2, FOLD 3), which are the 3 folds used for cross-validation purpose in the tissue classification performance assessment.</p>\n\n<p>Each subfolder contains 4 folders relative to the four tissue classes, i.e., Le, He, Hbv, IPCL.</p>\n\n<p>----------------------------------------------------------------------------------------------------------------------------------------------------------</p>\n\n<p>If you want to use the dataset, please cite <em>Moccia, Sara, et al. \"Confident texture-based laryngeal tissue classification for early stage diagnosis support.\" JOURNAL OF MEDICAL IMAGING 4.03 (2017): 1-10.</em></p>\n\n<p>\u00a0</p>\n\n<p>\u00a0</p>\n\n<p>\u00a0</p>", 
  "license": "https://creativecommons.org/licenses/by-nc/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Politecncico di Milano, Istituto Italiano di Tecnologia", 
      "@type": "Person", 
      "name": "Sara Moccia"
    }, 
    {
      "affiliation": "Politecncico di Milano", 
      "@type": "Person", 
      "name": "Elena De Momi"
    }, 
    {
      "affiliation": "Istituto Italiano di Tecnologia", 
      "@type": "Person", 
      "name": "Leonardo S. Mattos"
    }
  ], 
  "url": "https://zenodo.org/record/1003200", 
  "datePublished": "2017-10-06", 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/267e951b-8112-4998-9fd6-1fd49e7be497/laryngeal dataset.tar", 
      "encodingFormat": "tar", 
      "@type": "DataDownload"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.1003200", 
  "@id": "https://doi.org/10.5281/zenodo.1003200", 
  "@type": "Dataset", 
  "name": "Laryngeal dataset"
}