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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>SegRap2025 Challenge</title>
<link rel="stylesheet" href="shared.css">
<style>
/* 页面特定样式 */
.main-content {
display: grid;
grid-template-columns: 1.25fr 1fr 1fr;
gap: 40px;
justify-content: start;
}
/* News section */
.news-section {
grid-column: 1 / -1;
}
.news-list {
color: #0f1212;
list-style: none;
padding: 0;
margin: 0;
}
.news-list li {
position: relative;
padding-left: 25px;
margin-top: 20px;
margin-bottom: 20px;
line-height: 1.5;
color: #064b43;
font-weight: 500;
}
.news-list li::before {
content: "•";
position: absolute;
left: 10px;
color: #00bfa5;
font-weight: 300;
}
.news-list a {
color: #064b43;
text-decoration: none;
font-weight: 500;
transition: color 0.2s ease;
}
.news-list a:hover {
color: #00897b;
}
/* Column styles */
.column {
font-size: 0.85em;
width: 100%;
background: white;
border-radius: 8px;
padding: 24px;
transition: transform 0.2s ease, box-shadow 0.2s ease;
}
.column:hover {
transform: translateY(-2px);
box-shadow: var(--shadow-md);
}
.column h2 {
font-size: 1.8em;
color: var(--text-primary);
margin-bottom: 15px;
font-weight: 500;
letter-spacing: -0.02em;
}
/* Features list */
.features-list {
list-style: none;
margin-top: 15px;
display: block;
}
.features-list li {
padding: 8px 0;
border-bottom: 1px solid #f0f0f0;
display: flex;
align-items: center;
gap: 10px;
font-size: 0.95em;
font-weight: 300;
}
.features-list li:last-child {
border-bottom: none;
}
.checkmark {
color: #7FBFB0;
}
/* Collaborators list */
.collaborators-list {
list-style: none;
padding: 0;
display: block;
}
.collaborators-list li {
padding: 6px 0;
transition: all 0.2s ease;
line-height: 1.3;
font-size: 0.95em;
font-weight: 300;
}
.collaborators-list li:hover {
color: var(--text-primary);
transform: translateX(4px);
}
@media (max-width: 768px) {
.main-content {
grid-template-columns: 1fr;
}
}
</style>
</head>
<body>
<div class="site-header">
<div class="header-image" style="text-align: center;">
<img src="logo_web.png" alt="SegRap Logo" style="width: 50%; height: auto;">
</div>
<div class="header-container">
<div class="content-section">
<nav class="nav-links">
<a href="index.html" class="active">Home</a>
<a href="tasks.html">Tasks</a>
<a href="evaluate.html">Evaluate</a>
<a href="prizes.html">Prizes</a>
<a href="leaderboard.html">Leaderboard</a>
<a href="organizing.html">Organizing</a>
<a href="contact.html">Contact</a>
</nav>
</div>
</div>
</div>
<main class="main-content">
<!-- News section -->
<section class="news-section">
<!-- <img src="logo_h.png" alt="SegRap Image" style="max-width: 100%; height: auto; margin-bottom: 20px;"> -->
<h1 class="section-title">Abstract</h1>
<ul class="news-list">
Radiotherapy is a critical cancer treatment that uses external beam radiation to kill cancer cells.
Effective treatment planning, which determines radiation dose distribution for tumor volumes, is
essential to maximize
the likelihood of a cure while minimizing toxicity. Gross Tumor Volume (GTV) and Clinical Target
Volume (CTV) are two
key targets in radiotherapy planning. GTV is the visible tumor extent on Computed Tomography (CT)
scans, while CTV
encompasses GTV and describes the extent of microscopic, unimageable tumor spread. Accurate
delineation of GTV and CTV
is essential in radiotherapy planning, however, manual slice-by-slice annotation on CT scans is
time-consuming and
labor-intensive for radiation oncologists. Automating this process can significantly reduce planning
time and enhance
radiotherapy efficiency. <br>
Based on the success of SegRap2023, SegRap2025 aims to address ongoing challenges in GTV
segmentation and firstly focus
on the Lymph Node (LN) CTV segmentation. It provides two datasets collected from diverse cohorts:
one with data from 260
NPC patients annotated for GTV, and another with 402 patients annotated for LN CTV. It also provides
an unlabeled
dataset of CT scans from 500 patients to support model training. Based on the extensive and
comprehensive datasets, two
sub-tasks will be held in SegRap2025:
<li><strong>Task01</strong>: GTV Segmentation</li>
<li><strong>Task02</strong>: LN CTV Segmentation</li>
We believe that these algorithms will have the potential to support clinical manual delineation, enhance
research on
radiation dose calculation, and improve efficiency of radiotherapy treatment planning.
</ul>
</section>
<!-- Dates section -->
<section class="news-section">
<h1 class="section-title">Important Dates</h1>
<ul class="news-list">
<li><strong>Registration opens</strong>: May 1st (12:00 AM GMT), 2025</li>
<li><strong>Release of training data</strong>: May 10th (12:00 AM GMT), 2025</li>
<li><strong>Release of validation data</strong>: June 30th (12:00 AM GMT), 2025</li>
<li><strong>Docker and short paper submission opens</strong>: Aug. 10th (12:00 AM GMT), 2025</li>
<li><strong>Submission deadline</strong>: Aug. 31st (12:00 AM GMT), 2025</li>
<li><strong>Announcement of final results</strong>: Sep. 23th and 27th, 2025</li>
</ul>
</section>
<!-- Reference section -->
<section class="news-section">
<h1 class="section-title">References</h1>
<ul class="news-list">
You can find our previous challenges here:
<a href="https://segrap2023.grand-challenge.org/"><strong>SegRap2023</strong></a>, associated paper with
summary of
the results can be downloaded <a
href="https://doi.org/10.1016/j.media.2024.103447"><strong>here</strong></a>, and
algorithms from top
teams can be found at: <a
href="https://drive.google.com/file/d/1uI7idYOF87G6Bjx1tes_VSteXpbrT3kD/view"><strong>Google-Drive</strong></a>.
<br>
<br>
Please cite the following when using the SegRap dataset in your research:
<li><a href="https://doi.org/10.1016/j.media.2024.103447">X. Luo et al. Segrap2023: A benchmark of
organs-at-risk and gross tumor volume segmentation for radiotherapy planning
of nasopharyngeal carcinoma. Medical image analysis 2025, 101: 103447.</a></li>
<li><a href="https://doi.org/10.1038/s41597-024-03890-0">X. Luo et al. A multicenter dataset for lymph
node clinical target volume delineation of
nasopharyngeal carcinoma.
Scientific Data 11, 1085 (2024).</a></li>
</ul>
</section>
</main>
</body>
</html>