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Updated: May 2, 2026

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通过使用预训练的卷积神经网络,推进面假牙:以图像为基础的巴的分类

Islam E Ali1,2, Yuka Sumita3,4, Noriyuki Wakabayashi1

  • 1Department of Advanced Prosthodontics, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.

Journal of prosthodontics : official journal of the American College of Prosthodontists
|April 3, 2024
PubMed
概括

四个人工智能 (AI) 模型在识别大面假牙场景方面显示出超过90%的准确性. 丹塞Net-201和Xception模型表现最好,为人工智能驱动的牙假体设计铺平了道路.

关键词:
在DenseNet-201中,您可以使用开始-ResNet-V2 开始-ResNet-V2在VGG16中,VGG16是VGG16中的一个.Xception 接收 接收 接收人工智能的人工智能是人工智能.图像识别功能 图像识别功能机器学习是机器学习.牙面牙假牙学 牙面牙假牙学神经网络模型的神经网络模型

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相关概念视频

Classification of Bones01:18

Classification of Bones

The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
Long and Short Bones
The appendicular skeleton, particularly the upper and lower limbs, is primarily made of long and short bones. The...
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