Herramienta de chequeo de registro xml obtenido desde SEDICI (UNLP)

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<dc:identifier>http://sedici.unlp.edu.ar/handle/10915/129085</dc:identifier>
<dc:identifier>issn:1853-1881</dc:identifier>
<dc:title>Partially lossless compression of DICOM image sets</dc:title>
<dc:creator>Gangl, S.</dc:creator>
<dc:creator>Žalik, B.</dc:creator>
<dc:date>2011-08</dc:date>
<dc:date>2011</dc:date>
<dc:date>2021-12-03T11:50:59Z</dc:date>
<dc:language>en</dc:language>
<dc:subject>Ciencias Informáticas</dc:subject>
<dc:subject>Medical imaging</dc:subject>
<dc:subject>Image compression</dc:subject>
<dc:subject>ROI</dc:subject>
<dc:subject>DICOM</dc:subject>
<dc:description>In this paper a new approach to the compression of DICOM image sets is presented. For this task, a specific image projection space is created by employing principal component analysis. A subset from the initial image set, which can include regions of interest, is selected and used in the projection space creation. That way, these images can be reconstructed lossless, while the residual images are reconstructed with little loss of information. As shown by conducted experiments, the proposed method yields mean absolute errors below those of linear interpolation methods, yet at the same time achieves evidently higher compression ratios than compared image compression algorithms.</dc:description>
<dc:description>Sociedad Argentina de Informática e Investigación Operativa</dc:description>
<dc:type>Objeto de conferencia</dc:type>
<dc:type>Objeto de conferencia</dc:type>
<dc:rights>http://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
<dc:rights>Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)</dc:rights>
<dc:format>application/pdf</dc:format>
<dc:format>131 - 136</dc:format>
</oai_dc:dc>

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        "I19-R120-10915-1290852021-12-09T13:33:08Z http:\/\/sedici.unlp.edu.ar\/handle\/10915\/129085 issn:1853-1881 Partially lossless compression of DICOM image sets Gangl, S. \u017dalik, B. 2011-08 2011 2021-12-03T11:50:59Z en Ciencias Inform\u00e1ticas Medical imaging Image compression ROI DICOM In this paper a new approach to the compression of DICOM image sets is presented. For this task, a specific image projection space is created by employing principal component analysis. A subset from the initial image set, which can include regions of interest, is selected and used in the projection space creation. That way, these images can be reconstructed lossless, while the residual images are reconstructed with little loss of information. As shown by conducted experiments, the proposed method yields mean absolute errors below those of linear interpolation methods, yet at the same time achieves evidently higher compression ratios than compared image compression algorithms. Sociedad Argentina de Inform\u00e1tica e Investigaci\u00f3n Operativa Objeto de conferencia Objeto de conferencia http:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0\/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application\/pdf 131 - 136"
    ],
    "institution": [
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    "topic": [
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    "description": "In this paper a new approach to the compression of DICOM image sets is presented. For this task, a specific image projection space is created by employing principal component analysis. A subset from the initial image set, which can include regions of interest, is selected and used in the projection space creation. That way, these images can be reconstructed lossless, while the residual images are reconstructed with little loss of information. As shown by conducted experiments, the proposed method yields mean absolute errors below those of linear interpolation methods, yet at the same time achieves evidently higher compression ratios than compared image compression algorithms.",
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    "author_sort": "Gangl, S.",
    "title": "Partially lossless compression of DICOM image sets",
    "title_short": "Partially lossless compression of DICOM image sets",
    "title_full": "Partially lossless compression of DICOM image sets",
    "title_fullStr": "Partially lossless compression of DICOM image sets",
    "title_full_unstemmed": "Partially lossless compression of DICOM image sets",
    "title_sort": "partially lossless compression of dicom image sets",
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