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EndoAbS Dataset

Veronica Penza


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        <foaf:name>Veronica Penza</foaf:name>
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            <foaf:name>Politecnico di Milano</foaf:name>
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    <dct:title>EndoAbS Dataset</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2016</dct:issued>
    <dcat:keyword>endoscopic stereo image dataset</dcat:keyword>
    <dcat:keyword>3D reconstruction algorithm evaluation</dcat:keyword>
    <dcat:keyword>ground truth</dcat:keyword>
    <dcat:keyword>abdominal phantom model</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2016-08-22</dct:issued>
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    <dct:description>&lt;p&gt;The &lt;strong&gt;EndoAbS Dataset&lt;/strong&gt; (Endoscopic Abdominal Stereo Images Dataset) aims to provide to the computer assisted surgery community a dataset for the validation of 3D reconstruction algorithms.&lt;br&gt; It is composed of:&lt;br&gt; - 120 pair of endoscopic stereo images of abdominal organs (liver, kidneys, spleen);&lt;br&gt; - corresponding ground truth in left-camera reference frame, generated using a laser scanner;&lt;br&gt; - camera calibration parameters;&lt;/p&gt; &lt;p&gt;The images were captured under different conditions:&lt;br&gt; - different light levels;&lt;br&gt; - presence of smoke; &amp;nbsp;&lt;br&gt; - two phantom-endoscope distances (~5cm or ~10cm);&lt;br&gt; &amp;nbsp;&lt;br&gt; If you use this dataset, please cite:&lt;br&gt; &amp;nbsp;&lt;br&gt; &amp;nbsp;Penza, V., Ciullo, A. S., Moccia, S., Mattos, L. S., &amp;amp; De Momi, E. (2018). EndoAbS dataset: Endoscopic abdominal stereo image dataset for benchmarking 3D stereo reconstruction algorithms. &lt;em&gt;The International Journal of Medical Robotics and Computer Assisted Surgery&lt;/em&gt;, e1926.&lt;/p&gt; &lt;p&gt;For further information, please contact veronica.penza@iit.it&lt;/p&gt;</dct:description>
    <dct:description xml:lang="">{"references": ["A.S. Ciullo, V. Penza, L. Mattos, E. De Momi (2016)", "\"Development of a surgical stereo endoscopic image dataset for", "validating 3D stereo reconstruction algorithms.\" 6th Joint Workshop on", "New Technologies for Computer/Robot Assisted Surgery.", "Penza, V., Ortiz, J., Mattos, L. S., Forgione, A., &amp; De Momi, E. (2016).", "\"Dense soft tissue 3D reconstruction refined with super-pixel segmentation for", "robotic abdominal surgery.\" International journal of computer assisted radiology", "and surgery, 11(2), 197-206."]}</dct:description>
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