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+ <!DOCTYPE html>
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+ < html lang ="en ">
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+
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+ < head >
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+ < meta charset ="UTF-8 ">
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+ < meta name ="viewport " content ="width=device-width, initial-scale=1.0 ">
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+ < title > SegRap2025 Challenge</ title >
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+ < link rel ="stylesheet " href ="shared.css ">
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+ < style >
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+ .evaluate-section {
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+ margin-bottom : 60px ;
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+ }
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+
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+ .evaluate-content {
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+ background : white;
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+ border-radius : 12px ;
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+ padding : 10px ;
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+ margin-bottom : 0px ;
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+ }
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+
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+ .leaderboard-table {
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+ width : 100% ;
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+ border-collapse : collapse;
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+ margin : 20px 0 ;
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+ }
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+
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+ .leaderboard-table th ,
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+ .leaderboard-table td {
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+ padding : 12px ;
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+ text-align : left;
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+ border-bottom : 1px solid # eee ;
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+ }
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+
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+ .leaderboard-table th {
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+ font-weight : 500 ;
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+ color : var (--text-primary );
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+ background : # f8f9fa ;
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+ }
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+
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+ .leaderboard-table td {
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+ color : var (--text-secondary );
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+ }
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+
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+ .rank {
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+ font-weight : 600 ;
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+ color : var (--primary-color );
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+ }
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+
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+ .team-name {
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+ color : var (--text-primary );
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+ font-weight : 500 ;
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+ }
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+
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+ .metric-value {
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+ font-family : monospace;
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+ }
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+
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+ .evaluation-metrics {
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+ margin-top : 20px ;
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+ }
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+
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+ .metric-item {
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+ margin-bottom : 20px ;
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+ }
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+
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+ .metric-name {
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+ font-weight : 500 ;
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+ color : var (--text-primary );
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+ font-size : 20px ;
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+ margin-bottom : 8px ;
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+ margin-top : 0px ;
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+ }
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+
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+ .metric-description {
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+ color : var (--text-secondary );
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+ font-size : 0.95em ;
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+ line-height : 1.5 ;
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+ width : 100% ;
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+ }
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+
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+ .metric-description ul {
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+ list-style : none;
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+ padding : 0 ;
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+ margin : 0 ;
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+ width : 100% ;
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+ }
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+
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+ .metric-description li {
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+ margin-bottom : 8px ;
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+ }
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+
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+ .submit-section {
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+ margin-top : 30px ;
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+ width : 100% ;
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+ }
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+
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+ .submit-button {
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+ display : inline-block;
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+ padding : 12px 24px ;
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+ background : var (--primary-color );
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+ color : white;
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+ border-radius : 4px ;
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+ text-decoration : none;
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+ transition : background 0.2s ease;
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+ }
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+
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+ .submit-button : hover {
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+ background : var (--primary-dark );
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+ }
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+ </ style >
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+ </ head >
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+
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+ < body >
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+ < div class ="site-header ">
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+ < div class ="header-image " style ="text-align: center; ">
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+ < img src ="logo_web.png " alt ="SegRap Logo " style ="width: 50%; height: auto; ">
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+ </ div >
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+ < div class ="header-container ">
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+ < div class ="content-section ">
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+ < nav class ="nav-links ">
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+ < a href ="index.html "> Home</ a >
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+ < a href ="tasks.html "> Tasks</ a >
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+ < a href ="evaluate.html " class ="active "> Evaluate</ a >
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+ < a href ="leaderboard.html "> Leaderboard</ a >
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+ < a href ="organizing.html "> Organizing</ a >
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+ < a href ="contact.html "> Contact</ a >
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+ </ nav >
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+ </ div >
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+ </ div >
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+ </ div >
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+
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+ < main class ="main-content ">
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+ <!-- Leaderboards Section -->
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+ < section id ="leaderboards " class ="evaluate-section ">
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+ < h1 class ="section-title "> Evaluate and Ranking</ h1 >
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+
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+ <!-- Segmentation Leaderboard -->
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+ < div class ="evaluate-content ">
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+ < div class ="metric-name "> Two-phase Challenge Submission</ div >
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+ < p class ="metric-description ">
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+ For the first phase (validation phase), participants can submit their segmentation results of the
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+ validation dataset to
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+ the organization team once per week. A maximum of 5 submissions are allowed during the validation
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+ stage to ensure fair
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+ evaluation and prevent overfitting.</ p >
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+ < br >
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+ < p class ="metric-description ">
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+ For the second phase (test phase), participants must prepare and submit their Docker containers
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+ along with a short paper
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+ outlining their method.
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+ </ p >
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+ </ div >
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+
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+ <!-- Evaluation metrics -->
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+ < div class ="evaluate-content ">
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+ < div class ="metric-name "> Evaluation metrics</ div >
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+ < p class ="metric-description ">
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+ Two classical medical segmentation metrics: < strong > Dice Similarity Coefficient (DSC)</ strong > , and
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+ < strong > normalized surface dice (NSD)</ strong > , will be used to assess different aspects of the
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+ performance of the segmentation methods.
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+ </ p >
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+ </ div >
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+
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+ <!-- Ranking -->
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+ < div class ="evaluate-content ">
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+ < div class ="metric-name "> Ranking</ div >
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+ < p class ="metric-description ">
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+ Firstly, for each organ, we calculate the average DSC and NSD across all the patients respectively.
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+ Secondly, each
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+ participant will be ranked based on the organ-level DSC and NSD; each participant will have 2
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+ × 2 or 6 × 2 rankings.
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+ Finally, average all these rankings and then normalize them by the number of teams. At the same
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+ time, we will take the
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+ statistical ranking. (Allow equal teams if there is no significant difference).</ p >
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+ < br >
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+ < p class ="metric-description ">
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+ In addition, if the submissions have some missing results on test cases, the corresponding organ's
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+ DSC and NSD will be
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+ set to 0 and 0 for ranking. For example, a test case missed an organ and the ranking value of this
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+ organ in average DSC
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+ and NSD will degrade.
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+ </ p >
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+ </ div >
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+ </ section >
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+ </ main >
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+ </ body >
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+
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+ </ html >
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