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[COPD-MICCAI 2018] Apply the method to all 10K subjects #10

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kayhan-batmanghelich opened this issue Jul 2, 2018 · 6 comments
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@kayhan-batmanghelich
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kayhan-batmanghelich commented Jul 2, 2018

  • Extract 32 x 32 x 32 overlapping patches from all 10k subjects

  • Create a private repo with the code.

  • Get new COPD table from Kayhan

  • Rerun MICCAI experiment without decoder (Fully discriminative)

  • Rerun MICCAI experiment with lambda_1 = 0.01, 0.1 , 1, 10, 100

  • Get the R-square and spectral property of latent space plot.

Exploratory Analysis

  • Identify multiple modes in t-SNE plot. Does it still appears in experiments with 10k subjects? If yes, then try to identify other trends that might be responsible for these modes.
@sumedhasingla
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sumedhasingla commented Jul 12, 2018

  • Extract 32 x 32 x 32 overlapping patches from all 10k subjects
    Location: /pghbio/dbmi/batmanlab/singla/COPD_MICCAI_2018/COPDGene_PatchData/OL_32_RF_20_Max_Num_of_patch_1000/

@kayhan-batmanghelich
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@sumedhasingla would you please make a git repo (private) for this?

@sumedhasingla
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@sumedhasingla sumedhasingla changed the title Apply the method to all 10K subjects [MICCAI 2018] Apply the method to all 10K subjects Jul 16, 2018
@sumedhasingla sumedhasingla changed the title [MICCAI 2018] Apply the method to all 10K subjects [COPD-MICCAI 2018] Apply the method to all 10K subjects Jul 16, 2018
@sumedhasingla
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The new COPD dataset is at location: /pghbio/dbmi/batmanlab/Data/COPDGene/ClinicalData

Tracking its progress in a separate issue: #45

@sumedhasingla
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sumedhasingla commented Aug 6, 2018

Completed first round of experiments with varying lambda_1. The results are on one run of the experiment. **These are not cross validation results
image
In Lambda_1 =100 the FEV1/FVC ratio and % gold accuracy is poor. Need to validate this trend by cross validation.
image
t-SNE plot is still showing multi modal distribution
image
Lambda_1 = 10 and preplexity = 80
We consider only Gold stage 3 and 4 and created 2 groups, for the 2 modes.
image
Next we tried to find any significant difference between the 2 groups. We compared

  • the Change in FEV1 over 2 phases
    For group-1, FEV1 becomes better for 89 subjects and worse for 179 subjects.
    For group-2, FEV1 becomes better for 97 subjects and worse for 146 subjects.
    image

  • the Change in FEV1/FVC over 2 phases
    image

  • FEV1 Vs FEV1/FVC - Phase 1 colored by gold score
    image

  • FEV1 Vs FEV1/FVC - Phase 2 colored by gold score
    image

Both the groups have subjects which becomes better as we go from phase 1 to phase 2.

Conclusion: Couldn't find much difference.

Github: https://github.com/sumedhasingla/COPD_Project/blob/master/Experiments_Results_10k.ipynb

@sumedhasingla
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sumedhasingla commented Sep 24, 2018

image
image

The spectral properties of the latent space. The lambda_1 regularization, made latent space more informative.

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