跳到正文
研踪PaperTrail
← 研踪 PaperTrail

arXiv:2611.10728 · v1

3D Segmentation in the Clinic: A Grand Challenge

首次提交 2026-11-07 21:41
版本更新 2026-11-07 21:41
雷达观测 2026-11-10 11:14
arXiv ↗PDF ↗

摘要

This paper describes the set-up of a segmentation competition for automatic and semi-automatic extraction of the liver from computed tomography scans and the caudate nucleus from brain MRI data. This competition was held in the form of a workshop at the 2007 Medical Image Computing and Computer Assisted Intervention conference. The rationale for organizing the competition is discussed, the training and test data sets for both segmentation tasks are described and the scoring system used to evaluate the segmentation is presented.

作者备注:9 pages, 1 table. Published in the proceedings of the MICCAI 2007 workshop 3D Segmentation in the Clinic: A Grand Challenge

期刊信息:In: T. Heimann, M. Styner, B. van Ginneken (Eds.), 3D Segmentation in The Clinic: A Grand Challenge, pp. 7-15, 2007

AI 论文解读

基于摘要 · 非全文审阅

此版本尚未生成 AI 解读。解读由后台任务生成并按论文版本保存,登录后共享已有结果。

版本差异

目前只观测到一个版本,无法比较变化。之后收录新版本时,会在这里对照标题、作者、分类和摘要。

观测到的版本

相邻记录可能跳过中间版本;首次发现 v2 及以上也会标为版本更新。

v1 · 2026-11-07 21:41 · 最新观测版本

3D Segmentation in the Clinic: A Grand Challenge

This paper describes the set-up of a segmentation competition for automatic and semi-automatic extraction of the liver from computed tomography scans and the caudate nucleus from brain MRI data. This competition was held in the form of a workshop at the 2007 Medical Image Computing and Computer Assisted Intervention conference. The rationale for organizing the competition is discussed, the training and test data sets for both segmentation tasks are described and the scoring system used to evaluate the segmentation is presented.

查看此版本解读 →查看此版本原文 ↗