Impact of localized fine tuning in the performance of segmentation and classification of lung nodules from computed tomography scans using deep learning

HIGHLIGHTS

• who: Jingwei Cai and colleagues from the Lakehead University, Canada have published the research: Impact of localized fine tuning in the performance of segmentation and classification of lung nodules from computed tomography scans using deep learning, in the Journal: (JOURNAL)
• what: The authors conducted localized fine tuning for the baseline DL algorithm of segmentation and classification to segment and classify benign and malignant nodules. The backbone architecture used in the research is resnet50, for which kernels with the size of 3x3x3 were used to convolve the input image, and the feature maps output from it . . .
  

   

  

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