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机器学习用于早期检测食道癌的应用:系统性审查

Farhang Hosseini¹, Farkhondeh Asadi², Hassan Emami¹

¹Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

BMC medical informatics and decision making

|July 17, 2023

概括

机器学习 (ML) 对早期食道癌 (EC) 检测有希望,其方法达到89%以上的准确性. 需要进一步的研究来验证这些ML技术在临床环境中.

科学领域:

在瘤学瘤学.
医疗成像医学成像
人工智能的人工智能

背景情况:

食道癌 (EC) 是全球癌症死亡的主要原因,晚期诊断显著恶化了患者的结果.
早期发现EC对于提高生存率至关重要,但目前的诊断方法面临挑战.
机器学习 (ML) 和计算机视觉为医疗图像分析提供了潜在的进步,用于更早,更准确的诊断.

结论:

ML方法在提高早期EC检测的准确性方面表现有前途,可能有助于临床医生在诊断和治疗规划中.
目前的研究成果有限,需要进一步的研究来探索临床应用和验证ML算法.
解决阶级不平衡和偏见,并在纵向研究中验证机构间的算法,对于未来的进步至关重要.

关键词:

深度学习是一种深度学习.早期检测早期检测消化道癌消化道癌消化道中的食道.机器学习是机器学习.

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