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    • 10th SmartData@PoliTO Workshop – Present and Future Directions
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  • Workshops
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      • On the dynamics of music virality and its relation with mainstream success
      • Bypass frauds in cellular networks: from Financial strikes to Data poisoning
      • Empowering Data Owners with Control in Outsourcing and Sharing Scenarios
    • SmartTalks
  • Education
    • Courses for PhD students
    • PhD Course: Topological Data Analysis
    • PhD Course: Data Science for Networks
    • Corporate training on Digital Transformation
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    • Open Datasets & Libraries
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Home » Publications » Tandem: a Confidence-based Approach for Precise Medical Image Segmentation

Tandem: a Confidence-based Approach for Precise Medical Image Segmentation

Simone Monaco, Lorenzo Petrosino, Christodoulos Xinaris, Daniele Apiletti (2024) Tandem: a Confidence-based Approach for Precise Medical Image Segmentation, In: Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare

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