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微调的深度学习模型用于CT成像中早期检测和分类脏疾病

Amit Pimpalkar1, Dilip Kumar Jang Bahadur Saini2, Nilesh Shelke3

  • 1School of Computer Science and Engineering, Ramdeobaba College of Engineering and Management, Ramdeobaba University, Nagpur, Maharashtra, India.

Scientific reports
|March 29, 2025
PubMed
概括

这项研究引入了一种新的方法,用于使用先进的人工智能模型从CT扫描中分类脏疾病. 该方法达到99.96%的准确性,使得早期和更精确的病检测.

关键词:
计算机断层扫描扫描计算机断层扫描.变换距离变换 变换距离变换超参数精细调节的超参数病的分类病的分类.这就是Otsu的二元化.转移学习转移学习流域细分的细分化 流域细分化

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