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根据可解释的特征和多任务学习的基础上,诊断出神经炎

Lei Liu1, Haoyu Zhang2, Weifeng Zhang2

  • 1Medical College, Shantou University, Shantou, Guangdong, 515041, People's Republic of China.

Physics in medicine and biology
|January 18, 2024
PubMed
概括

一个新的放射学和深度学习算法准确地从CT扫描中诊断出神炎. 这种方法可视化了分级特征,提高了早期结性脊髓炎检测的解释性和诊断准确性.

关键词:
金融金融公司 (FFT)多任务学习是多任务学习.无线电学 (radiomics) 是一种无线电学.这种神经性炎是神经性炎.

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相关概念视频

Functional Classification of Joints01:09

Functional Classification of Joints

Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An immobile...