Automated prediction of emphysema visual score using homology-based quantification of low-attenuation lung region

Míreanna Comhchosúla

• Estimation of lung cancer risk using homology-based emphysema quantification in patients with lung nodules
  le: Nishio, Mizuho, et al.
  Foilsithe: (2019)
• Application of the homology method for quantification of low-attenuation lung region inpatients with and without COPD
  le: Nishio, Mizuho, et al.
  Foilsithe: (2016)
• Homology-Based Image Processing for Automatic Classification of Histopathological Images of Lung Tissue
  le: Nishio, Mizuho, et al.
  Foilsithe: (2021)
• Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neural network with transfer learning
  le: Nishio, Mizuho, et al.
  Foilsithe: (2018)
• Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neural network with transfer learning.
  le: Mizuho Nishio, et al.
  Foilsithe: (2018-01-01)