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Algorithms for improving lung cancer detection with deep learning

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This work is a collaboration between @malhotraa, @JovanSardinha

Objective of the competition: Help detect early stage lung cancer from patient CT scans

Evaluation criteria: LogLoss

Infrastructure Used:

  • Operating system: Ubuntu 16.04.2 LTS
  • Machine: NC12 - 12 cores (E5-2690v3), 112 GB memory, 680 GB SSD
  • GPU: 2 X K80 Tesla GPU
  • additional storage: 2TB

Performance: Final model in top 10% of private leaderboard standing (Bronze medal) over two-stages. In this competition, 1972 teams competed for $1,000,000 over the two stages.

more information about our work on this competition can be found on our blog (weights & biases)

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