Dataset Open Access
Sara Moccia;
Gabriele Omodeo Vanone;
Elena De Momi;
Leonardo S. Mattos
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nmm##2200000uu#4500</leader> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Frame selection, NBI endoscopy, machine learning, classification</subfield> </datafield> <controlfield tag="005">20200124192531.0</controlfield> <controlfield tag="001">1162784</controlfield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Politecnico di Milano</subfield> <subfield code="a">Gabriele Omodeo Vanone</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Politecnico di Milano</subfield> <subfield code="a">Elena De Momi</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Istituto Italiano di Tecnologia</subfield> <subfield code="a">Leonardo S. Mattos</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">171473464</subfield> <subfield code="z">md5:c624858e2dda6070cf2179ace28d8f10</subfield> <subfield code="u">https://zenodo.org/record/1162784/files/FRAMES.zip</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2018-01-30</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="p">openaire_data</subfield> <subfield code="o">oai:zenodo.org:1162784</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="u">Istituto Italiano di Tecnologia / Politecnico di Milano</subfield> <subfield code="0">(orcid)0000-0002-4494-8907</subfield> <subfield code="a">Sara Moccia</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">NBI-InfFrames</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="u">https://creativecommons.org/licenses/by-nc/4.0/legalcode</subfield> <subfield code="a">Creative Commons Attribution Non Commercial 4.0 International</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><p>The&nbsp;<strong>NBI-InfFrames </strong>dataset<strong>&nbsp;</strong>aims to provide the surgical data science&nbsp;community with a&nbsp;labeled dataset for the identification of informative endoscopic video&nbsp;frames.&nbsp;</p> <p>It&nbsp;is&nbsp;composed&nbsp;of 720&nbsp;video frames. The frames are manually&nbsp;extracted and labeled from 18 narrow-band laryngoscopic videos of 18 different patients affected by laryngeal spinocellular carcinoma (diagnosed after histopathological examination).&nbsp;</p> <p>The frames include 180 informative (<strong>I</strong>) video frames, 180 blurred (<strong>B</strong>)&nbsp;frames, 180 frames with saliva or specular reflections (<strong>S</strong>) and 180 underexposed (<strong>U</strong>) frames.</p> <p>The dataset was created for testing the method proposed in S. Moccia, et al. &quot;<em>Learning-based classification of informative laryngoscopic frames.</em>&quot; COMPUTER METHODS AND PROGRAM IN BIOMEDICINE, (accepted for publication).</p> <p>The folder<em>&nbsp;<strong>FRAMES.zip</strong>&nbsp;</em>contains 3 subfolders (FOLD1, FOLD2, FOLD3), which are the 3 folds used for cross-validation purpose in the frame&nbsp;classification performance assessment. Data separation in the folds is performed both at image- and patient-level.</p> <p>Each subfolder contains 4 folders relative to the four frame classes, i.e., <strong>I</strong>, <strong>B</strong>, <strong>S</strong> and <strong>U</strong>.</p></subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="a">10.5281/zenodo.1162783</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.5281/zenodo.1162784</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">dataset</subfield> </datafield> </record>
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Unique downloads | 615 | 615 |