D-Persona Medical Image Segmentation — Poster
Poster presenting D-Persona, a two-stage framework for medical image segmentation. It addresses multi-rater diversity and personalization, showing architecture diagrams, metrics like GED and Dice, and results on NPC-170 and LIDC-IDRI datasets.
Paper context
Paper title: Diversified and Personalized Multi-rater Medical Image Segmentation Abstract: Poster presenting D-Persona, a two-stage framework for medical image segmentation. It addresses multi-rater diversity and personalization, showing architecture diagrams, metrics like GED and Dice, and results on NPC-170 and LIDC-IDRI datasets. Paper body (method & results): <!DOCTYPE html> <html lang="en"> <head> <meta content="text/html; charset=utf-8" http-equiv="content-type"/> <title>Diversified and Personalized Multi-rater Medical Image Segmentation</title> <!--Generated on Wed Mar 20 09:00:00 2024 by LaTeXML (version 0.8.7) http://dlmf.nist.gov/LaTeXML/.--> <meta content="width=device-width, initial-scale=1, shrink-to-fit=no" name="viewport"/> <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css" rel="stylesheet" type="text/css"/> <link href="/static/browse/0.3.4/css/ar5iv_0.7.4.min.css" rel="stylesheet" type="text/css"/> <link href="/static/browse/0.3.4/css/latexml_styles.css" rel="stylesheet" type="text/css"/> <script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/js/bootstrap.bundle.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/html2canvas/1.3.3/html2canvas.min.js"></script> <script src="/static/browse/0.3.4/js/addons.js"></script> <script src="/static/browse/0.3.4/js/feedbackOverlay.js"></script> <base href="/html/2403.13417v1/"/></head> <body> <nav class="ltx_page_navbar"> <nav class="ltx_TOC"> <ol class="ltx_toclist"> <li class="ltx_tocentry ltx_tocentry_section"><a class="ltx_ref" href="https://arxiv.org/html/2403.13417v1#S1" title="1 Introduction ‣ Diversified and Personalized Multi-rater Medical Image Segmentation"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">1 </span>Introduction</span></a></li> <li class="ltx_tocentry ltx_tocentry_section"> <a class="ltx_ref" href="https://arxiv.org/html/2403.13417v1#S2" title="2 Related work ‣ Diversified and Personalized Multi-rater Medical Image Segmentation"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">2 </span>Related work</span></a> <ol class="ltx_toclist ltx_toclist_section"> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2403.13417v1#S2.SS1" title="2.1 Crowdsourcing-based Segmentation ‣ 2 Related work ‣ Diversified and Personalized Multi-rater Medical Image Segmentation"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">2.1 </span>Crowdsourcing-based Segmentation</span></a></li> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2403.13417v1#S2.SS2" title="2.2 Generation-based Segmentation ‣ 2 Related work ‣ Diversified and Personalized Multi-rater Medical Image Segmentation"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">2.2 </span>Generation-based Segmentation</span></a></li> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2403.13417v1#S2.SS3" title="2.3 One-stage Personalization Segmentation ‣ 2 Related work ‣ Diversified and Personalized Multi-rater Medical Image Segmentation"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">2.3 </span>One-stage Personalization Segmentation</span></a></li> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2403.13417v1#S2.SS4" title="2.4 Noisy Learning ‣ 2 Related work ‣ Diversified and Personalized Multi-rater Medical Image Segmentation"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">2.4 </span>Noisy Learning</span></a></li> </ol> </li> <li class="ltx_tocentry ltx_tocentry_section"> <a class="ltx_ref" href="https://arxiv.org/html/2403.13417v1#S3" title="3 Methods ‣ Diversified and Personalized Multi-rater Medical Image Segmentation"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">3 </span>Methods</span></a> <ol class="ltx_toclist ltx_toclist_section"> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2403.13417v1#S3.SS1" title="3.1 Stage I: Diversified Segmentation ‣ 3 Methods ‣ Diversified and Personalized Multi-rater Medical Image Segmentation"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">3.1 </span>Stage I: Diversified Segmentation</span></a></li> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2403.13417v1#S3.SS2" title="3.2 Stage II: Personalized Segmentation ‣ 3 Methods ‣ Diversified and Personalized Multi-rater Medical Image Segmentation"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">3.2 </span>Stage II: Personalized Segmentation</span></a></li> </ol> </li> <li class="ltx_tocentry ltx_tocentry_section"> <a class="ltx_ref" href="https://arxiv.org/html/2403.13417v1#S4" title="4 Experiments and Results ‣ Diversified and Personalized Multi-rater Medical Image Segmentation"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">4 </span>Experiments and Results</span></a> <ol class="ltx_toclist ltx_toclist_section"> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2403.13417v1#S4.SS1" title="4.1 Dataset ‣ 4 Experiments and Results ‣ Diversified and Personalized Multi-rater Medical Image Segmentation"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">4.1 </span>Dataset</span></a></li> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2403.13417v1#S4.SS2" title="4.2 Implementation Details ‣ 4 Experiments and Results ‣ Diversified and Personalized Multi-rater Medical Image Segmentation"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">4.2 </span>Implementation Details</span></a></li> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2403.13417v1#S4.SS3" title="4.3 Evaluation Metrics ‣ 4 Experiments and Results ‣ Diversified and Personalized Multi-rater Medical Image Segmentation"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">4.3 </span>Evaluation Metrics</span></a></li> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2403.13417v1#S4.SS4" title="4.4 Performance on NPC-170 ‣ 4 Experiments and Results ‣ Diversified and Personalized Multi-rater Medical Image Segmentation"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">4.4 </span>Performance on NPC-170</span></a></li> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2403.13417v1#S4.SS5" title="4.5 Performance on LIDC-IDRI ‣ 4 Experiments and Results ‣ Diversified and Personalized Multi-rater Medical Image Segmentation"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">4.5 </span>Performance on LIDC-IDRI</span></a></li> </ol> </li> <li class="ltx_tocentry ltx_tocentry_section"> <a class="ltx_ref" href="https://arxiv.org/html/2403.13417v1#S5" title="5 Discussions ‣ Diversified and Personalized Multi-rater Medical Image Segmentation"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">5 </span>Discussions</span></a> <ol class="ltx_toclist ltx_toclist_section"> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2403.13417v1#S5.SS1" title="5.1 Visual Results ‣ 5 Discussions ‣ Diversified and Personalized Multi-rater Medical Image Segmentation"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">5.1 </span>Visual Results</span></a></li> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2403.13417v1#S5.SS2" title="5.2 Selection of Hyper-parameters ‣ 5 Discussions ‣ Diversified and Personalized Multi-rater Medical Image Segmentation"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">5.2 </span>Selection of Hyper-parameters</span></a></li> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2403.13417v1#S5.SS3" title="5.3 Comparisons with Crowdsourcing Methods ‣ 5 Discussions ‣ Diversified and Personalized Multi-rater Medical Image Segmentation"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">5.3 </span>Comparisons with Crowdsourcing Methods</span></a></li> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2403.13417v1#S5.SS4" title="5.4 Limitation and Future Work ‣ 5 Discussions ‣ Diversified and Personalized Multi-rater Medical Image Segmentation"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">5.4 </span>Limitation and Future Work</span></a></li> </ol> </li> <li class="ltx_tocentry ltx_tocentry_section"><a class="ltx_ref" href="https://arxiv.org/html/2403.13417v1#S6" title="6 Conclusion ‣ Diversified and Personalized Multi-rater Medical Image Segmentation"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">6 </span>Conclusion</span></a></li> </ol></nav> </nav> <div class="ltx_page_main"> <div class="ltx_page_content"> <div aria-label="Conversion errors have 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