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相关概念视频

In Vitro Fertilization01:24

In Vitro Fertilization

259
In vitro fertilization (IVF) is a form of assisted reproductive technology where an egg is fertilized with sperm in a controlled laboratory environment before transferring the resulting embryo into the uterus. This process is designed to help individuals and couples experiencing difficulties conceiving.
The IVF process begins with ovarian stimulation, during which reproductive endocrinologists prescribe hormonal medications to stimulate the ovaries to produce multiple eggs instead of the single...
259

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A Neural Network-Based Identification of Developmentally Competent or Incompetent Mouse Fully-Grown Oocytes
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智能:在IVF中使用自我监督学习编码器进行全场景胚胎识别.

Mark Liu1, Chun-I Lee2,3,4, Chii-Ruey Tzeng5

  • 1Binflux, Inc., 4F.-1, No. 9, Dehui St., Zhongshan Dist., Taipei City, 10461, Taiwan. markliu@binflux.com.

Journal of assisted reproduction and genetics
|March 12, 2024
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概括
此摘要是机器生成的。

使用自主监督学习 (SSL) 进行全场景胚胎识别,提高了体外受精 (IVF) 的准确性. WISE模型在各种场景中对胚胎鉴定有希望,表现优于胚胎学家.

关键词:
在试管婴儿受精体外受精.不符合规范的情况.自主监督学习学习视觉变压器 视觉变压器整体情景胚胎识别的情况.目击者目击者目击者

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科学领域:

  • 生殖生物学 生殖生物学
  • 医学中的人工智能.
  • 计算机视觉 计算机视觉

背景情况:

  • 在体外受精 (IVF) 中,精确的胚胎鉴定对于成功的结果至关重要.
  • 当前的方法面临着不同的成像条件和数据源的挑战.
  • 自主监督学习 (SSL) 为提高识别准确性提供了一个潜在的解决方案.

研究的目的:

  • 评估一种新型自主监督学习编码器WISE (使用自主监督学习进行全场景胚胎识别) 的有效性,用于IVF中的胚胎识别.
  • 评估WISE在时间缩短,跨设备和冷解胚胎图像场景中的表现.
  • 将WISE的准确性与人类胚胎学家进行比较.

主要方法:

  • 智能是使用视觉变压器 (ViT) 架构和面具自动编码器 (MAE) 开发的,用于SSL.
  • 使用了三个数据集:SSL预训练,时间延迟识别和跨设备识别.
  • 胚胎图像经过预处理,包括对象检测,裁剪,填充和调整大小,然后再被输入WISE.

主要成果:

  • 在胚胎识别中,WISE取得了高准确度:时间延迟的99.89%,跨设备场景的83.55%.
  • 在冷解的子集上的性能达到了82.22%的准确性,证明了现实世界的适用性.
  • 通过SSL集成,跨设备和冷解的识别得到了约10%的改进.
  • 在评估的场景中,WISE的表现超过胚胎学家的9.5%至18%.

结论:

  • SSL方法显著提高了胚胎识别的准确性,特别是在具有挑战性的跨设备和冷解条件下.
  • 这项研究标志着SSL在胚胎识别中的首次应用,展示了它的潜力.
  • WISE模型显示了未来将其整合到自动化胚胎观察系统的巨大前景.