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luna16

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Developing a well-documented repository for the Lung Nodule Detection task on the Luna16 dataset. This work is inspired by the ideas of the first-placed team at DSB2017, "grt123".

  • Updated Sep 8, 2021
  • Jupyter Notebook

In progress (data acquisition); CT lung nodule classifier for the LUNA16 false-positive reduction task (888 scans, 1,186 nodules). Plan: SimpleITK preprocessing, PyRadiomics + gradient-boosting baseline, then a PyTorch CNN; scan-level 10-fold cross-validation; official FROC/CPM evaluation; FastAPI + Docker deployment.

  • Updated Sep 26, 2026

Official codebase for my Year 3 dissertation on 3D pulmonary nodule segmentation using LUNA16 dataset. Compares a supervised 3D U-Net baseline vs. semi-supervised Mean Teacher architecture (peak validation Dice: 0.6617, with a DSC of 81.77%). Includes model definitions, metadata, and key NIfTI qualitative visual result files.

  • Updated Sep 15, 2026
  • Python

Course project (University of Pisa, Neural Networks and Deep Learning, 2024): comparative analysis of Res U-Net, Attention U-Net and Attention Res U-Net for 2D lung nodule segmentation on LUNA16 CT scans (TensorFlow/Keras).

  • Updated Oct 18, 2026
  • Jupyter Notebook

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