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<ep-patent-document id="EP15200864A8W1" file="EP15200864W1A8.xml" lang="en" country="EP" doc-number="3182366" kind="A8" correction-code="W1" date-publ="20171129" status="c" dtd-version="ep-patent-document-v1-5">
<SDOBI lang="en"><B000><eptags><B001EP>ATBECHDEDKESFRGBGRITLILUNLSEMCPTIESILTLVFIROMKCYALTRBGCZEEHUPLSKBAHRIS..MTNORSMESMMA....MD..........</B001EP><B005EP>J</B005EP><B007EP>BDM Ver 0.1.63 (23 May 2017) -  1999001/0</B007EP><B053EP>Amended claims in accordance with Rule 137(2) EPC.</B053EP></eptags></B000><B100><B110>3182366</B110><B120><B121>CORRECTED EUROPEAN PATENT APPLICATION</B121></B120><B130>A8</B130><B132EP>A1</B132EP><B140><date>20171129</date></B140><B150><B151>W1</B151><B153>72</B153><B155><B1551>de</B1551><B1552>Bibliographie</B1552><B1551>en</B1551><B1552>Bibliography</B1552><B1551>fr</B1551><B1552>Bibliographie</B1552></B155></B150><B190>EP</B190></B100><B200><B210>15200864.5</B210><B220><date>20151217</date></B220><B250>en</B250><B251EP>en</B251EP><B260>en</B260></B200><B400><B405><date>20171129</date><bnum>201748</bnum></B405><B430><date>20170621</date><bnum>201725</bnum></B430><B480><date>20171129</date><bnum>201748</bnum></B480></B400><B500><B510EP><classification-ipcr sequence="1"><text>G06T   7/00        20170101AFI20160630BHEP        </text></classification-ipcr></B510EP><B540><B541>de</B541><B542>EIGENSCHAFTSMESSUNG AUF EINER BIOLOGISCHEN GEWEBEPROBE</B542><B541>en</B541><B542>PROPERTY MEASUREMENT ON A BIOLOGICAL TISSUE SAMPLE</B542><B541>fr</B541><B542>MESURE DE PROPRIÉTÉ SUR UN ÉCHANTILLON DE TISSU BIOLOGIQUE</B542></B540><B590><B598>1</B598></B590></B500><B700><B710><B711><snm>Leibniz-Institut für Photonische 
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<abstract id="abst" lang="en">
<p id="pa01" num="0001">A method for determining the presence or absence of a local and/or global property (6) of a biological tissue sample (1), comprising:<br/>
• acquiring (100, 110, 120, 130) an image (2) of the sample (1);<br/>
• searching (200) the image (2) for the presence of each feature (30-39) that is contained in a pre-defined set (3) of features (30-39), and assigning (250), to at least one feature (30-39), a corresponding pronunciation index (40-49) that is a measure of how pronounced each feature (30-39) is in the image or parts of it (2),<br/>
• computing (300) at least one discriminant value (5), e.g. a linear discriminant value, LD, that is a function of the weighted pronunciation indices (40-49), wherein the weight (50-59) of each pronunciation index (40-49) is a measure for the relevance of the corresponding feature (30-39) with respect to the property (6), and<br/>
• determining (400) that the property (6) is present or absent in the sample (1) or part of it depending on whether the discriminant value exceeds a pre-defined and/or optimized threshold (7) or not.
<img id="iaf01" file="imgaf001.tif" wi="71" he="127" img-content="drawing" img-format="tif"/></p>
</abstract>
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