肝脏肿瘤分割基准（LiTS）
摘要
在这项工作中，我们报告了肝脏肿瘤分割基准（Liver Tumor Segmentation Benchmark, LiTS）的设置与结果，该基准与2017年IEEE国际生物医学成像研讨会（ISBI）以及2017和2018年医学图像计算与计算机辅助干预国际会议（MICCAI）联合组织。图像数据集具有多样性，包含原发与继发肿瘤，其大小和外观各异，且病灶与背景对比度水平不同（高密度/低密度），由七家医院及研究机构合作创建。七十五个提交的肝脏及肝脏肿瘤分割算法在131个计算机断层扫描（CT）体积上训练，并在来自不同患者的70张未见测试图像上测试。我们发现，在三次活动中，没有单个算法在肝脏和肝脏肿瘤上均表现最佳。最佳的肝脏分割算法达到了0.963的Dice分数，而对于肿瘤分割，最佳算法分别取得了0.674（ISBI 2017）、0.702（MICCAI 2017）和0.739（MICCAI 2018）的Dice分数。回顾性地，我们对肝脏肿瘤检测做了额外分析，揭示并非所有表现顶尖的分割算法在肿瘤检测上都表现良好。最佳的肝脏肿瘤检测方法取得了病灶级召回率0.458（ISBI 2017）、0.515（MICCAI 2017）和0.554（MICCAI 2018），表明仍需进一步研究。LiTS仍是一个活跃的研究基准与资源，例如为\url{http://medicaldecathlon.com/}中的肝脏相关分割任务做出贡献。此外，数据和在线评估均可通过\url{www.lits-challenge.com}获取。
引用
@article{arxiv.1901.04056,
title = {The Liver Tumor Segmentation Benchmark (LiTS)},
author = {Patrick Bilic and Patrick Christ and Hongwei Bran Li and Eugene Vorontsov and Avi Ben-Cohen and Georgios Kaissis and Adi Szeskin and Colin Jacobs and Gabriel Efrain Humpire Mamani and Gabriel Chartrand and Fabian Lohöfer and Julian Walter Holch and Wieland Sommer and Felix Hofmann and Alexandre Hostettler and Naama Lev-Cohain and Michal Drozdzal and Michal Marianne Amitai and Refael Vivantik and Jacob Sosna and Ivan Ezhov and Anjany Sekuboyina and Fernando Navarro and Florian Kofler and Johannes C. Paetzold and Suprosanna Shit and Xiaobin Hu and Jana Lipková and Markus Rempfler and Marie Piraud and Jan Kirschke and Benedikt Wiestler and Zhiheng Zhang and Christian Hülsemeyer and Marcel Beetz and Florian Ettlinger and Michela Antonelli and Woong Bae and Míriam Bellver and Lei Bi and Hao Chen and Grzegorz Chlebus and Erik B. Dam and Qi Dou and Chi-Wing Fu and Bogdan Georgescu and Xavier Giró-i-Nieto and Felix Gruen and Xu Han and Pheng-Ann Heng and Jürgen Hesser and Jan Hendrik Moltz and Christian Igel and Fabian Isensee and Paul Jäger and Fucang Jia and Krishna Chaitanya Kaluva and Mahendra Khened and Ildoo Kim and Jae-Hun Kim and Sungwoong Kim and Simon Kohl and Tomasz Konopczynski and Avinash Kori and Ganapathy Krishnamurthi and Fan Li and Hongchao Li and Junbo Li and Xiaomeng Li and John Lowengrub and Jun Ma and Klaus Maier-Hein and Kevis-Kokitsi Maninis and Hans Meine and Dorit Merhof and Akshay Pai and Mathias Perslev and Jens Petersen and Jordi Pont-Tuset and Jin Qi and Xiaojuan Qi and Oliver Rippel and Karsten Roth and Ignacio Sarasua and Andrea Schenk and Zengming Shen and Jordi Torres and Christian Wachinger and Chunliang Wang and Leon Weninger and Jianrong Wu and Daguang Xu and Xiaoping Yang and Simon Chun-Ho Yu and Yading Yuan and Miao Yu and Liping Zhang and Jorge Cardoso and Spyridon Bakas and Rickmer Braren and Volker Heinemann and Christopher Pal and An Tang and Samuel Kadoury and Luc Soler and Bram van Ginneken and Hayit Greenspan and Leo Joskowicz and Bjoern Menze},
journal= {arXiv preprint arXiv:1901.04056},
year = {2022}
}
备注
Patrick Bilic, Patrick Christ, Hongwei Bran Li, and Eugene Vorontsov made equal contributions to this work. Published in Medical Image Analysis