2) Architecture:

Papers:

1. Architecture:

   • [SegCaps] Capsules for Object Segmentation [Paper] [Code]

   • [VNet 3D + ResNet 3D] LUNA16-Lung-Nodule-Analysis-2016-Challenge [Link]

   • [3D FasterRCNN - Nodule Net and Case Net] Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network [Paper] [Code]

2. Head: 

   • TOOD: Task-aligned One-stage Object Detection_arXiv_2021 [Paper]

3. 
   

Methods:

1. Semi-supervised:

   • [Unet + Generator] Generative model and Semi-Supervised Learning [Code]

3) Post-Processing:

Papers:

Methods:

4) Kernels:

• DSB-2017 kernels [Link]

• 
  

References:

• https://github.com/junqiangchen/LUNA16-Lung-Nodule-Analysis-2016-Challenge

• https://www.kaggle.com/arnavkj95/candidate-generation-and-luna16-preprocessing?fbclid=IwAR2XsOMB1I1iNw3WAk2FfsmIZuSL4UfP2ng1it4qNiXmqkDpWpHSgD80HWQ

• https://www.kaggle.com/gzuidhof/full-preprocessing-tutorial?fbclid=IwAR39YO4rtqpLqAUYnnwNgF_VZugf8FSvftWtXzkPdsMBFRkcQ8xxEfCFz-A

• 
  

Re-check:

• https://www.kaggle.com/discussion/208794

• Lung Nodule News: https://www.iaslc.org/iaslc-news

• Lung New Papers: https://researcher.watson.ibm.com/researcher/view_group_subpage.php?id=9815

• Data for Data Science Bowl 2017: https://academictorrents.com/details/015f31a94c600256868be155358dc114157507fc

• Plot in 3d: https://www.kaggle.com/rodenluo/crop-save-and-view-nodules-in-3d/comments

• LUNA16 notebooks: https://notebook.community/mas-dse-greina/neon/luna16/old_code/LUNA16_loader

• DSB2017: Pre-processing:

  • First place: Full preprocessing tutorial by Guido Zuidhof

  • Second place: First pass through data with 3D ConvNet by Sentdex

  • Third place: Candidate generation and LUNA16 preprocessing by ArnavJain

LUNA16

• https://github.com/s-mostafa-a/Luna16

• https://github.com/Cheng-Lin-Li/SegCaps

• https://github.com/Rakshith2597/Lung-nodule-detection-LUNA-16

• https://github.com/svella9/Semi-Supervised-Learning-To-Improve-Lung-Cancer-Detection

• https://github.com/SilvaEmerson/LUNA16-Image-Extractor

• https://github.com/hanziying/LUNA16_Challange_keras

• https://github.com/chengliu-LR/malignancy-detector-LUNA16

• https://www.kaggle.com/aadhavvignesh/lung-segmentation-by-marker-controlled-watershed

• https://www.kaggle.com/kmader/dsb-lung-segmentation-algorithm

• https://www.kaggle.com/shashaalam/explorating-data

• https://www.kaggle.com/arnavkj95/candidate-generation-and-luna16-preprocessing

• https://www.kaggle.com/azaemon/2d-3d-lung-segmentation

• https://www.kaggle.com/alibaba19/pulmonary-embolism-dicom-eda-segmentation-expo

• https://www.kaggle.com/anoukstein/lung-segmentation-combined-approach

2 collections: [To Tony later]

• https://www.kaggle.com/kmader/finding-lungs-in-ct-data/code

• https://github.com/search?q=lung+2d