根据特征性的乳房外形形状,在红外热学中对乳房进行细分
Francisco J Alvarez-Padilla1, Jorge L Flores-Nunez1, Juan R Alvarez-Padilla2
1Department of Translational Bioengineering, Universidad de Guadalajara, Jalisco, Mexico.
概括
一种新的方法通过使用乳房外形来准确地分隔乳房在热图中以检测癌症. 这种方法提高了乳腺细分的准确性,在乳腺温度分析中表现优于AI算法.
科学领域:
- 医疗成像医学成像
- 生物医学工程 生物医学工程
- 在瘤学瘤学.
背景情况:
- 红外热学越来越多地用于乳腺癌评估.
- 在热图中精确的乳房细分对于自动化分析和检测恶性瘤指标至关重要.
- 现有的细分方法在与低对比度的乳房边界,特别是上边界,进行斗争.
研究的目的:
- 开发一种用于热图的自动乳房细分技术.
- 为了利用乳下形状来实现强大的下乳腺边缘定义.
- 为了应对细分不清楚的上乳腺边界的挑战.
主要方法:
- 一种新的方法,利用独特的乳下形状来定义下乳腺边缘.
- 使用下边界作为解剖学参考来帮助细分上乳腺边界.
- 在180个乳腺温度图的数据库上申请和验证.
主要成果:
- 在乳腺细分方面实现了0.934的高交叉与欧盟 (IoU).
- 超过了之前报告的结果,包括来自人工智能算法的结果.
- 对乳房大小和图像热对比度变化的证明不变性.
结论:
- 拟议的技术提供了一个强大的和准确的方法,用于乳房细分在热学.
- 这种方法简化了细分,依赖于内膜折叠,克服了低对比度边界问题.
- 该方法显示了通过红外成像改进自动乳腺癌检测的巨大潜力.
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