<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>1181</id>
    <completedYear>2020</completedYear>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>214</pageFirst>
    <pageLast>226</pageLast>
    <pageNumber/>
    <edition/>
    <issue>2</issue>
    <volume>57</volume>
    <articleNumber/>
    <type>article</type>
    <publisherName>Sage</publisherName>
    <publisherPlace>London</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2022-02-10</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Computerized Calculation of Mitotic Count Distribution in Canine Cutaneous Mast Cell Tumor Sections: Mitotic Count Is Area Dependent</title>
    <parentTitle language="eng">Veterinary Pathology</parentTitle>
    <identifier type="issn">1544-2217</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1177/0300985819890686</enrichment>
    <enrichment key="THI_DownloadUrl">https://journals.sagepub.com/doi/suppl/10.1177/0300985819890686</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <author>
      <first_name>Christof</first_name>
      <last_name>Bertram</last_name>
    </author>
    <author>
      <first_name>Marc</first_name>
      <last_name>Aubreville</last_name>
    </author>
    <author>
      <first_name>Corinne</first_name>
      <last_name>Gurtner</last_name>
    </author>
    <author>
      <first_name>Alexander</first_name>
      <last_name>Bartel</last_name>
    </author>
    <author>
      <first_name>Sarah M.</first_name>
      <last_name>Corner</last_name>
    </author>
    <author>
      <first_name>Martina</first_name>
      <last_name>Dettwiler</last_name>
    </author>
    <author>
      <first_name>Olivia</first_name>
      <last_name>Kershaw</last_name>
    </author>
    <author>
      <first_name>Erica L.</first_name>
      <last_name>Noland</last_name>
    </author>
    <author>
      <first_name>Anja</first_name>
      <last_name>Schmidt</last_name>
    </author>
    <author>
      <first_name>Dodd G.</first_name>
      <last_name>Sledge</last_name>
    </author>
    <author>
      <first_name>Rebecca C.</first_name>
      <last_name>Smedley</last_name>
    </author>
    <author>
      <first_name>Tuddow</first_name>
      <last_name>Thaiwong</last_name>
    </author>
    <author>
      <first_name>Matti</first_name>
      <last_name>Kiupel</last_name>
    </author>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Maier</last_name>
    </author>
    <author>
      <first_name>Robert</first_name>
      <last_name>Klopfleisch</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>area selection</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>high-power field</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>mitotic activity</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>mitotic figure distribution</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>tumor grading</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>tumor periphery</value>
    </subject>
  </doc>
  <doc>
    <id>1314</id>
    <completedYear>2021</completedYear>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>211</pageFirst>
    <pageLast>226</pageLast>
    <pageNumber/>
    <edition/>
    <issue>2</issue>
    <volume>59</volume>
    <articleNumber/>
    <type>article</type>
    <publisherName>Sage</publisherName>
    <publisherPlace>London</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-02-18</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Computer-assisted mitotic count using a deep learning–based algorithm improves interobserver reproducibility and accuracy</title>
    <abstract language="eng">The mitotic count (MC) is an important histological parameter for prognostication of malignant neoplasms. However, it has inter- and intraobserver discrepancies due to difficulties in selecting the region of interest (MC-ROI) and in identifying or classifying mitotic figures (MFs). Recent progress in the field of artificial intelligence has allowed the development of high-performance algorithms that may improve standardization of the MC. As algorithmic predictions are not flawless, computer-assisted review by pathologists may ensure reliability. In the present study, we compared partial (MC-ROI preselection) and full (additional visualization of MF candidates and display of algorithmic confidence values) computer-assisted MC analysis to the routine (unaided) MC analysis by 23 pathologists for whole-slide images of 50 canine cutaneous mast cell tumors (ccMCTs). Algorithmic predictions aimed to assist pathologists in detecting mitotic hotspot locations, reducing omission of MFs, and improving classification against imposters. The interobserver consistency for the MC significantly increased with computer assistance (interobserver correlation coefficient, ICC = 0.92) compared to the unaided approach (ICC = 0.70). Classification into prognostic stratifications had a higher accuracy with computer assistance. The algorithmically preselected hotspot MC-ROIs had a consistently higher MCs than the manually selected MC-ROIs. Compared to a ground truth (developed with immunohistochemistry for phosphohistone H3), pathologist performance in detecting individual MF was augmented when using computer assistance (F1-score of 0.68 increased to 0.79) with a reduction in false negatives by 38%. The results of this study demonstrate that computer assistance may lead to more reproducible and accurate MCs in ccMCTs.</abstract>
    <parentTitle language="eng">Veterinary Pathology</parentTitle>
    <identifier type="issn">1544-2217</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-13141</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1177/03009858211067478</enrichment>
    <enrichment key="THI_openaccess">ja</enrichment>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <licence>Creative Commons BY-NC 4.0</licence>
    <author>
      <first_name>Christof</first_name>
      <last_name>Bertram</last_name>
    </author>
    <author>
      <first_name>Marc</first_name>
      <last_name>Aubreville</last_name>
    </author>
    <author>
      <first_name>Taryn</first_name>
      <last_name>Donovan</last_name>
    </author>
    <author>
      <first_name>Alexander</first_name>
      <last_name>Bartel</last_name>
    </author>
    <author>
      <first_name>Frauke</first_name>
      <last_name>Wilm</last_name>
    </author>
    <author>
      <first_name>Christian</first_name>
      <last_name>Marzahl</last_name>
    </author>
    <author>
      <first_name>Charles-Antoine</first_name>
      <last_name>Assenmacher</last_name>
    </author>
    <author>
      <first_name>Kathrin</first_name>
      <last_name>Becker</last_name>
    </author>
    <author>
      <first_name>Mark</first_name>
      <last_name>Bennett</last_name>
    </author>
    <author>
      <first_name>Sarah M.</first_name>
      <last_name>Corner</last_name>
    </author>
    <author>
      <first_name>Brieuc</first_name>
      <last_name>Cossic</last_name>
    </author>
    <author>
      <first_name>Daniela</first_name>
      <last_name>Denk</last_name>
    </author>
    <author>
      <first_name>Martina</first_name>
      <last_name>Dettwiler</last_name>
    </author>
    <author>
      <first_name>Beatriz</first_name>
      <last_name>Garcia Gonzalez</last_name>
    </author>
    <author>
      <first_name>Corinne</first_name>
      <last_name>Gurtner</last_name>
    </author>
    <author>
      <first_name>Ann-Kathrin</first_name>
      <last_name>Haverkamp</last_name>
    </author>
    <author>
      <first_name>Annabelle</first_name>
      <last_name>Heier</last_name>
    </author>
    <author>
      <first_name>Annika</first_name>
      <last_name>Lehmbecker</last_name>
    </author>
    <author>
      <first_name>Sophie</first_name>
      <last_name>Merz</last_name>
    </author>
    <author>
      <first_name>Erica L.</first_name>
      <last_name>Noland</last_name>
    </author>
    <author>
      <first_name>Stephanie</first_name>
      <last_name>Plog</last_name>
    </author>
    <author>
      <first_name>Anja</first_name>
      <last_name>Schmidt</last_name>
    </author>
    <author>
      <first_name>Franziska</first_name>
      <last_name>Sebastian</last_name>
    </author>
    <author>
      <first_name>Dodd G.</first_name>
      <last_name>Sledge</last_name>
    </author>
    <author>
      <first_name>Rebecca C.</first_name>
      <last_name>Smedley</last_name>
    </author>
    <author>
      <first_name>Marco</first_name>
      <last_name>Tecilla</last_name>
    </author>
    <author>
      <first_name>Tuddow</first_name>
      <last_name>Thaiwong</last_name>
    </author>
    <author>
      <first_name>Andrea</first_name>
      <last_name>Fuchs-Baumgartinger</last_name>
    </author>
    <author>
      <first_name>Donald J.</first_name>
      <last_name>Meuten</last_name>
    </author>
    <author>
      <first_name>Katharina</first_name>
      <last_name>Breininger</last_name>
    </author>
    <author>
      <first_name>Matti</first_name>
      <last_name>Kiupel</last_name>
    </author>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Maier</last_name>
    </author>
    <author>
      <first_name>Robert</first_name>
      <last_name>Klopfleisch</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>canine cutaneous mast cell tumors</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>artificial intelligence</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>digital pathology</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>deep learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>mitotic figures</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>mitotic count</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>automated image analysis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>computer assistance</value>
    </subject>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="19309">Fakultät Informatik</collection>
    <collection role="institutes" number="19379">AImotion Bavaria</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/1314/03009858211067478.pdf</file>
  </doc>
  <doc>
    <id>1177</id>
    <completedYear>2020</completedYear>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>143</pageFirst>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue>174</issue>
    <volume>2020</volume>
    <articleNumber/>
    <type>article</type>
    <publisherName>Elsevier</publisherName>
    <publisherPlace>London</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2022-02-10</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Mitotic count in canine cutaneous mast cell tumours</title>
    <parentTitle language="eng">Journal of Comparative Pathology</parentTitle>
    <subTitle language="eng">not accurate but reproducible</subTitle>
    <identifier type="issn">1532-3129</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1016/j.jcpa.2019.10.015</enrichment>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <author>
      <first_name>Christof</first_name>
      <last_name>Bertram</last_name>
    </author>
    <author>
      <first_name>Marc</first_name>
      <last_name>Aubreville</last_name>
    </author>
    <author>
      <first_name>Corinne</first_name>
      <last_name>Gurtner</last_name>
    </author>
    <author>
      <first_name>Alexander</first_name>
      <last_name>Bartel</last_name>
    </author>
    <author>
      <first_name>Sarah M.</first_name>
      <last_name>Corner</last_name>
    </author>
    <author>
      <first_name>Martina</first_name>
      <last_name>Dettwiler</last_name>
    </author>
    <author>
      <first_name>Olivia</first_name>
      <last_name>Kershaw</last_name>
    </author>
    <author>
      <first_name>Erica L.</first_name>
      <last_name>Noland</last_name>
    </author>
    <author>
      <first_name>Anja</first_name>
      <last_name>Schmidt</last_name>
    </author>
    <author>
      <first_name>Dodd G.</first_name>
      <last_name>Sledge</last_name>
    </author>
    <author>
      <first_name>Rebecca C.</first_name>
      <last_name>Smedley</last_name>
    </author>
    <author>
      <first_name>Tuddow</first_name>
      <last_name>Thaiwong</last_name>
    </author>
    <author>
      <first_name>Matti</first_name>
      <last_name>Kiupel</last_name>
    </author>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Maier</last_name>
    </author>
    <author>
      <first_name>Robert</first_name>
      <last_name>Klopfleisch</last_name>
    </author>
  </doc>
  <doc>
    <id>1213</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>241</pageFirst>
    <pageLast>246</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>Springer</publisherName>
    <publisherPlace>Wiesbaden</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-02-14</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Influence of inter-annotator variability on automatic mitotic figure assessment</title>
    <parentTitle language="deu">Bildverarbeitung für die Medizin 2021</parentTitle>
    <identifier type="isbn">978-3-658-33198-6</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1007/978-3-658-33198-6_56</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_conferenceName">German Workshop on Medical Image Computing, Regensburg, 7.-9. März 2021</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>
      <first_name>Frauke</first_name>
      <last_name>Wilm</last_name>
    </author>
    <author>
      <first_name>Christof</first_name>
      <last_name>Bertram</last_name>
    </author>
    <author>
      <first_name>Christian</first_name>
      <last_name>Marzahl</last_name>
    </author>
    <author>
      <first_name>Alexander</first_name>
      <last_name>Bartel</last_name>
    </author>
    <author>
      <first_name>Taryn</first_name>
      <last_name>Donovan</last_name>
    </author>
    <author>
      <first_name>Charles-Antoine</first_name>
      <last_name>Assenmacher</last_name>
    </author>
    <author>
      <first_name>Kathrin</first_name>
      <last_name>Becker</last_name>
    </author>
    <author>
      <first_name>Mark</first_name>
      <last_name>Bennett</last_name>
    </author>
    <author>
      <first_name>Sarah M.</first_name>
      <last_name>Corner</last_name>
    </author>
    <author>
      <first_name>Brieuc</first_name>
      <last_name>Cossic</last_name>
    </author>
    <author>
      <first_name>Daniela</first_name>
      <last_name>Denk</last_name>
    </author>
    <author>
      <first_name>Martina</first_name>
      <last_name>Dettwiler</last_name>
    </author>
    <author>
      <first_name>Beatriz</first_name>
      <last_name>Garcia Gonzalez</last_name>
    </author>
    <author>
      <first_name>Corinne</first_name>
      <last_name>Gurtner</last_name>
    </author>
    <author>
      <first_name>Annabelle</first_name>
      <last_name>Heier</last_name>
    </author>
    <author>
      <first_name>Annika</first_name>
      <last_name>Lehmbecker</last_name>
    </author>
    <author>
      <first_name>Sophie</first_name>
      <last_name>Merz</last_name>
    </author>
    <author>
      <first_name>Stephanie</first_name>
      <last_name>Plog</last_name>
    </author>
    <author>
      <first_name>Anja</first_name>
      <last_name>Schmidt</last_name>
    </author>
    <author>
      <first_name>Franziska</first_name>
      <last_name>Sebastian</last_name>
    </author>
    <author>
      <first_name>Rebecca C.</first_name>
      <last_name>Smedley</last_name>
    </author>
    <author>
      <first_name>Marco</first_name>
      <last_name>Tecilla</last_name>
    </author>
    <author>
      <first_name>Tuddow</first_name>
      <last_name>Thaiwong</last_name>
    </author>
    <author>
      <first_name>Katharina</first_name>
      <last_name>Breininger</last_name>
    </author>
    <author>
      <first_name>Matti</first_name>
      <last_name>Kiupel</last_name>
    </author>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Maier</last_name>
    </author>
    <author>
      <first_name>Robert</first_name>
      <last_name>Klopfleisch</last_name>
    </author>
    <author>
      <first_name>Marc</first_name>
      <last_name>Aubreville</last_name>
    </author>
    <collection role="institutes" number="19309">Fakultät Informatik</collection>
  </doc>
</export-example>
