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Updated: Jun 20, 2026

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

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使用U-net和预训练的骨干U-net架构进行增强的质瘤语义细分

Amir Khorasani1,2

  • 1Medical Image and Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran. a.khorasani@resident.mui.ac.ir.

Scientific reports
|August 29, 2025
PubMed
概括

使用MRI扫描,ResNet-U-Net模型有效地细分质瘤子区域. 使用T1-Gd进行训练后,ResNet-U-Net在死细胞和活跃瘤区域实现了高精度,而T2-FLAIR在瘤细分方面是最佳的.

关键词:
人工智能质瘤磁共振成像分段化

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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 long...