确定视力转换器在皮肤癌中的作用 - - 一个范围审查
Sulaiman Khan1, Hazrat Ali1, Zubair Shah1
1College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
Frontiers in artificial intelligence
|August 2, 2023
概括
视觉变压器显示出从皮肤镜图像中检测皮肤癌的巨大希望,尽管面临挑战,但提高了准确性. 本综述综合了研究,为更好的黑色素瘤诊断和治疗决策提供了见解.
科学领域:
- 皮肤病学中的人工智能
- 医学图像分析 医学图像分析
- 计算机视觉 计算机视觉
背景情况:
- 由于观察者的变化和模糊的图像界限,诊断黑色素细胞病变很困难.
- 人工智能 (AI) 模型,特别是视觉转换器,正在成为皮肤癌检测的工具.
- 目前的AI性能受到症状变化和潜在疾病影响的阻碍.
研究的目的:
- 综合和分析现有的关于视觉转换器用于皮肤病变检测的应用文献.
- 提供当前研究格局的概述,并确定关键的挑战和机会.
主要方法:
- 根据PRISMA-ScR指南进行范围审查.
- 在IEEE Xplore,Scopus,Google Scholar和PubMed中进行的搜索.
- 在查和预处理后包括28项研究.
主要成果:
- 从2020-2022年开始,视力转换器研究用于皮肤癌检测的快速增长.
- 在使用皮肤透视图像检测皮肤癌症方面表现出色.
- 确定了包括视觉模两可,不规则的病变形状和可信度问题在内的挑战.
结论:
- 视觉变压器为准确的皮肤癌检测和诊断提供了巨大的潜力.
- 需要进一步的研究来应对挑战,并提高人工智能模型的可信度.
- 结果为从业者和研究人员提供了洞察力,以改善黑色素瘤诊断和决策.
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