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Machine learning-based lungs cancer detection using reconstruction independent component analysis and sparse filter features
Waves in Random and Complex Media ( IF 4.051 ) Pub Date : 2021-03-30 , DOI: 10.1080/17455030.2021.1905912 Lal Hussain 1, 2 , Majid Saeed Almaraashi 3 , Wajid Aziz 1, 3 , Nazneen Habib 4 , Saif-Ur-Rehman Saif Abbasi 5
Waves in Random and Complex Media ( IF 4.051 ) Pub Date : 2021-03-30 , DOI: 10.1080/17455030.2021.1905912 Lal Hussain 1, 2 , Majid Saeed Almaraashi 3 , Wajid Aziz 1, 3 , Nazneen Habib 4 , Saif-Ur-Rehman Saif Abbasi 5
Affiliation
In the present study, based on the multivariate nature of images from lung cancer, we extracted autoencoder, reconstruction independent component analysis (RICA) and sparse filters features along w...
中文翻译：
使用重建独立分量分析和稀疏滤波器特征进行基于机器学习的肺癌检测
在本研究中，基于肺癌图像的多变量性质，我们提取了自动编码器、重建独立分量分析（RICA）和稀疏滤波器特征......
更新日期：2021-03-30
中文翻译：
使用重建独立分量分析和稀疏滤波器特征进行基于机器学习的肺癌检测
在本研究中，基于肺癌图像的多变量性质，我们提取了自动编码器、重建独立分量分析（RICA）和稀疏滤波器特征......
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