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与前列腺超声波相关的图像处理技术的叙事审查
Haiqiao Wang1, Hong Wu2, Zhuoyuan Wang2
1Medical UltraSound Image Computing (MUSIC) Lab, Smart Medical Imaging, Learning and Engineering (SMILE) Lab, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, China; Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China.
本综述总结了20年的图像处理算法用于前列腺癌 (PCa) 诊断中的跨直肠超声波 (TRUS). 它强调了细分,注册,分类和针检测方面的进展,以帮助医生.
科学领域:
- 医疗成像医学成像
- 计算机辅助诊断 计算机辅助诊断
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
背景情况:
- 前列腺癌 (PCa) 是男性的主要健康问题,早期诊断至关重要.
- 跨直肠超声波 (TRUS) 对于PCa诊断和图像指导干预至关重要.
- 对TRUS的图像处理算法的进步改善了PCa诊断和干预.
研究的目的:
- 提供TRUS中用于PCa分析的图像处理方法的全面审查.
- 概述过去二十年来这些算法的演变和贡献.
- 确定当前的挑战,并建议未来的研究方向.
主要方法:
- 关于PCa.TRUS图像处理的已发表研究的叙述性综述.
- 分析前列腺细分,图像记录,PCa分类/检测和针检测的算法.
- 讨论这些技术的历史发展和影响.
主要成果:
- 在过去20年中,在PCa的各种TRUS图像处理任务中取得了显著进展.
- 算法在细分,注册,分类,检测和针跟踪方面取得了最先进的性能.
- 该审查巩固了这些计算方法的演变和有效性的知识.
结论:
- 在TRUS中图像处理已经大大推进了PCa诊断和干预.
- 需要进一步的研究来应对现有的挑战,并提高诊断的准确性和效率.
- 未来的方向可能包括开发和整合新的算法,以改善患者的治疗结果.
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