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    <title>Trustworthy Artificial Intelligence for Healthcare</title>
    <subTitle>Second International Workshop, TAI4H 2024, Jeju, South Korea, August 4, 2024, Proceedings</subTitle>
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    <namePart>Chen, Hao.</namePart>
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    <namePart>Zhou, Yuyin.</namePart>
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    <namePart>Xu, Daguang.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
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    <extent>X, 170 p. 59 illus., 51 illus. in color. online resource.</extent>
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  <abstract>This book constitutes the proceedings of Second International Workshop on Trustworthy Artificial Intelligence for Healthcare, TAI4H 2024, held in Jeju, South Korea, in August 2024, in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI 2024. The 13 full papers included in this book were carefully reviewed and selected from 21 submissions. They focus on trustworthy artificial intelligence, healthcare, generalization, explainability, fairness, privacy, multi-modal fusion, foundation models. .</abstract>
  <note type="statement of responsibility">edited by Hao Chen, Yuyin Zhou, Daguang Xu, Varut Vince Vardhanabhuti.</note>
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    <topic>Machine learning</topic>
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    <topic>Image processing</topic>
    <topic>Digital techniques</topic>
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    <topic>Computer vision</topic>
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  <subject>
    <topic>Machine Learning</topic>
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  <subject>
    <topic>Computer Imaging, Vision, Pattern Recognition and Graphics</topic>
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      <title>Lecture Notes in Computer Science, 14812</title>
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