相关实验视频

Updated: Jun 5, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

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一个混合深度学习模型与数据增强,以改善使用MRI图像进行瘤分类.

Eman M G Younis1, Mahmoud N Mahmoud1, Abdullah M Albarrak2

  • 1Faculty of Computers and Information, Minia University, Minia 61519, Egypt.

Diagnostics (Basel, Switzerland)
|December 17, 2024
PubMed
概括

这项研究引入了一种混合深度学习模型,将CNN和EfficientNetV2B3与KNN相结合,用于脑瘤分类. 这种新的方法实现了高精度,提高了对脑癌的诊断能力.

关键词:
在美国,CNN是CNN.有效的网络V2B3B3在 KNN KNN 标签上.大脑瘤是个大脑瘤

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相关概念视频

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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