Automatic exudate and aneurysm segmentation in OCT images using UNET++ and hyperreflective-foci feature based bagged tree ensemble

• Rinrada Tanthanathewin ,

  Contributed equally to this work with: Rinrada Tanthanathewin, Warissaporn Wongrattanapipat, Tin Tin Khaing, Pakinee Aimmanee

  Roles Data curation, Software, Writing – original draft

  Affiliation School of Information, Computer and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University, Meung, Patumthani, Thailand

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• Warissaporn Wongrattanapipat ,

  Contributed equally to this work with: Rinrada Tanthanathewin, Warissaporn Wongrattanapipat, Tin Tin Khaing, Pakinee Aimmanee

  Roles Data curation, Software, Validation, Visualization

  Affiliation School of Information, Computer and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University, Meung, Patumthani, Thailand

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• Tin Tin Khaing ,

  Contributed equally to this work with: Rinrada Tanthanathewin, Warissaporn Wongrattanapipat, Tin Tin Khaing, Pakinee Aimmanee

  Roles Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation School of Information, Computer and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University, Meung, Patumthani, Thailand

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• Pakinee Aimmanee

  Contributed equally to this work with: Rinrada Tanthanathewin, Warissaporn Wongrattanapipat, Tin Tin Khaing, Pakinee Aimmanee

  Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Visualization, Writing – review & editing

  * E-mail: pakinee@siit.tu.ac.th

  Affiliation School of Information, Computer and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University, Meung, Patumthani, Thailand

  https://orcid.org/0000-0002-8216-8522

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