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              <creatorName>Das, Adrito</creatorName>
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          <titles>
            <title><![CDATA[Endoscopic Pituitary Surgery Pilot Action Dataset]]></title>
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            <subject>Surgery</subject>
            <subject>Computer vision</subject>
            <subject>pituitary surgery</subject>
            <subject>machine learning</subject>
            <subject>classification</subject>
            <subject>action recognition</subject>
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            <date dateType="Created">2025-03-31</date>
            <date dateType="Updated">2025-03-31</date>
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          <publicationYear>2025</publicationYear>
          <publisher>University College London</publisher>
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            <description descriptionType="Abstract"><![CDATA[<p dir="ltr">The first public dataset containing action annotations of the endoscopic TransSphenoidal Approach (eTSA), consisting of 4 action annotations. The action annotations are given in the form: actions_{video_number}_{direction}.csv. The corresponding video can be found in the PitVis-2023 public dataset (https://doi.org/10.5522/04/26531686.v2), where the video is given in the form: video_{video_number}.mp4. The data is released under the governance of the UCL Institutional Review Board (IRB) (17819/011). The companion paper with comparative models is titled: "Action Classification for Endoscopic Pituitary Adenoma Resection: A Consensus-Based Study" (Starup-Hansen, Joachim et al.). Please cite this paper if you have used this dataset: [pre-print].</p>]]></description>
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