Deep learning techniques for lung cancer recognition

HIGHLIGHTS

  • What: Using pooling layers, spatial dimensions are reduced, allowing the model to focus on the most salient features.
  • Who: gerry from the Department of Mathematics, Geethanjali College of Engineering and Technology, Hyderabad, Telangana, India, Universidade do Porto have published the research work: Deep Learning Techniques for Lung Cancer Recognition, in the Journal: (JOURNAL)
  • How: This Article proposes an ensemble approach to tackle the challenge of lung nodule detection.
  • Future: Moving forward several avenues for future work can enhance the robustness and applicability of a lung cancer classification system.

SUMMARY . . .

 

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