对计算机辅助诊断系统进行审查,以分类胃肠道疾病
Muhammad Ramzan1,2, Mudassar Raza3,4, Zahid Farooq Khan5,4
1Department of Computer Science, GIMS PMAS Arid Agriculture University Rawalpindi, Gujrat, Pakistan. ramzan097@gmail.com.
European journal of medical research
|July 27, 2025
概括
计算机辅助诊断系统 (CADx) 提高了胃肠道 (GI) 疾病检测的准确性和速度. 这些人工智能工具帮助胃肠科医生,改善早期诊断,降低肠道疾病的死亡率.
科学领域:
- 胃肠病学和医学成像学
- 医疗保健中的人工智能
背景情况:
- 胃肠道 (GI) 疾病,如结肠和胃癌,对健康构成重大风险.
- 内镜和结肠镜对于体内肠道检查至关重要,但高率挑战了准确的病理发现.
- 经验丰富的胃肠病学家对于详细分析至关重要,但传统的疾病分类是耗时的.
研究的目的:
- 审查基于机器学习的计算机辅助诊断系统 (CADx) 在肠道疾病诊断中的应用.
- 探索各种CADx技术,包括预处理,特征提取和内镜成像分类方法.
- 确定未来的疾病自动识别和分类在内镜框架的研究方向.
主要方法:
- 综合性文献综述,重点关注胃肠道疾病的CADx系统.
- 分析各种CADx技术:预处理,手工和深度学习特征提取,特征选择和分类.
- 检查与CADx一起用于胃肠道疾病的成像方法.
主要成果:
- 在诊断胃肠道疾病方面,CADx系统提供了高精度 (Acc),大大缩短了诊断时间.
- 这些系统有助于临床医生的培训,并支持胃肠科医生识别病理.
- 通过CADx早期发现疾病有可能降低死亡率.
结论:
- 基于机器学习的CADx系统是提高胃肠道疾病诊断的准确性和效率的宝贵工具.
- 需要进一步研究使用内镜来自动识别和分类疾病.
- 在胃肠病学中,CADx集成可以增强临床决策和患者结果.
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