肝脏分割的进展与挑战综述。

IF 2.7 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Journal of Imaging Pub Date : 2024-08-21 DOI:10.3390/jimaging10080202
Di Wei, Yundan Jiang, Xuhui Zhou, Di Wu, Xiaorong Feng
{"title":"肝脏分割的进展与挑战综述。","authors":"Di Wei, Yundan Jiang, Xuhui Zhou, Di Wu, Xiaorong Feng","doi":"10.3390/jimaging10080202","DOIUrl":null,"url":null,"abstract":"<p><p>Liver segmentation technologies play vital roles in clinical diagnosis, disease monitoring, and surgical planning due to the complex anatomical structure and physiological functions of the liver. This paper provides a comprehensive review of the developments, challenges, and future directions in liver segmentation technology. We systematically analyzed high-quality research published between 2014 and 2024, focusing on liver segmentation methods, public datasets, and evaluation metrics. This review highlights the transition from manual to semi-automatic and fully automatic segmentation methods, describes the capabilities and limitations of available technologies, and provides future outlooks.</p>","PeriodicalId":37035,"journal":{"name":"Journal of Imaging","volume":"10 8","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11355703/pdf/","citationCount":"0","resultStr":"{\"title\":\"A Review of Advancements and Challenges in Liver Segmentation.\",\"authors\":\"Di Wei, Yundan Jiang, Xuhui Zhou, Di Wu, Xiaorong Feng\",\"doi\":\"10.3390/jimaging10080202\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Liver segmentation technologies play vital roles in clinical diagnosis, disease monitoring, and surgical planning due to the complex anatomical structure and physiological functions of the liver. This paper provides a comprehensive review of the developments, challenges, and future directions in liver segmentation technology. We systematically analyzed high-quality research published between 2014 and 2024, focusing on liver segmentation methods, public datasets, and evaluation metrics. This review highlights the transition from manual to semi-automatic and fully automatic segmentation methods, describes the capabilities and limitations of available technologies, and provides future outlooks.</p>\",\"PeriodicalId\":37035,\"journal\":{\"name\":\"Journal of Imaging\",\"volume\":\"10 8\",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-08-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11355703/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Imaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/jimaging10080202\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/jimaging10080202","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

由于肝脏具有复杂的解剖结构和生理功能,因此肝脏分割技术在临床诊断、疾病监测和手术规划中发挥着至关重要的作用。本文全面回顾了肝脏分割技术的发展、挑战和未来方向。我们系统分析了 2014 年至 2024 年间发表的高质量研究成果,重点关注肝脏分割方法、公共数据集和评估指标。本综述强调了从手动到半自动和全自动分割方法的过渡,描述了现有技术的能力和局限性,并提供了未来展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A Review of Advancements and Challenges in Liver Segmentation.

Liver segmentation technologies play vital roles in clinical diagnosis, disease monitoring, and surgical planning due to the complex anatomical structure and physiological functions of the liver. This paper provides a comprehensive review of the developments, challenges, and future directions in liver segmentation technology. We systematically analyzed high-quality research published between 2014 and 2024, focusing on liver segmentation methods, public datasets, and evaluation metrics. This review highlights the transition from manual to semi-automatic and fully automatic segmentation methods, describes the capabilities and limitations of available technologies, and provides future outlooks.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Imaging
Journal of Imaging Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
5.90
自引率
6.20%
发文量
303
审稿时长
7 weeks
期刊最新文献
AQSA-Algorithm for Automatic Quantification of Spheres Derived from Cancer Cells in Microfluidic Devices. Editorial on the Special Issue "Fluorescence Imaging and Analysis of Cellular Systems". Spatially Localized Visual Perception Estimation by Means of Prosthetic Vision Simulation. MOTH: Memory-Efficient On-the-Fly Tiling of Histological Image Annotations Using QuPath. Anatomical Characteristics of Cervicomedullary Compression on MRI Scans in Children with Achondroplasia.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1