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Updated: Feb 28, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

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骨-CNN:一种轻量级的深度学习架构,用于X射线图中主要骨瘤的多类分类

Behnam Kiani Kalejahi1, Sajid Khan1, Rakhim Zakirov2

  • 1Computer Science Department, School of Engineering, Central Asian University, Tashkent 111221, Uzbekistan.

Biomedicines
|February 27, 2026
PubMed
概括

一个新的轻量级深度学习模型,Bone-CNN,准确地从X光照中分类初级骨瘤,准确率为96.52%. 这种高效的模型适合临床部署,改善了骨瘤诊断.

关键词:
骨头-CNNN 在线阅读深度学习是一种深度学习.轻量级的CNN架构 轻量级的CNN架构原发性骨瘤是主要的骨瘤.放射学分类 放射学分类 放射学分类

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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