Project: Low Powered Models for disease detection and classification for Radiology Images

Blog for this week - https://gsoc2020withlibrehealth.blogspot.com/2020/06/week-3-coding-period.html

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Dataset - RSNA Pneumonia Detection Dataset

Model - Densenet

  1. Accuracy -

Validation accuracy - 85.644

Test Accuracy - 84.317

  1. Classification report over validation and test data -

  2. Confusion matrix -

Validation data

[[3223, 118]

[495, 434]]

Test Data

 [[3944, 164]

  [673, 556]]
  1. Loss

Validation loss - 0.34

Test loss - 0.36

  1. ROC Curve - Screenshot from 2020-06-19 20-44-48

Model - Inception

  1. Accuracy -

Validation accuracy - 85.690

Test Accuracy - 84.167

  1. Classification report over validation and test data -

  1. Confusion matrix -

Validation data

[[3203, 138]

[473, 456]]

Test Data

 [[3885, 223]

  [622, 607]]
  1. Loss

Validation loss - 0.34

Test loss - 0.35

  1. ROC Curve - Screenshot from 2020-06-18 02-27-20
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Link for this week’s blog post - https://gsoc2020withlibrehealth.blogspot.com/2020/06/week-4-coding-period.html

July 4th, 2020. 3:30 AM IST (Editing this post as I cannot post a new reply) –

Hello mentors!

Thank you for your evaluation and your positive feedback. I am happy that you are satisfied with my work and I wish to continue this for the rest of the summer. I will work on your suggestions and will show you the results in my work. Till then, this is the link for my weekly blog post - https://gsoc2020withlibrehealth.blogspot.com/2020/07/week-5-coding-period.html

Thank you so much!

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@aishwhereya Now you can comment.

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Link to week 6 blog post - https://gsoc2020withlibrehealth.blogspot.com/2020/07/week-6-coding-period.html

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Results of model compression on RSNA Pneumonia Detection dataset -

Model Accuracy -

Model Size -

Link to week 7 blog post - https://gsoc2020withlibrehealth.blogspot.com/2020/07/week-7-coding-period.html

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@aishwarya I recommend you submit this as a conference abstract with what you have done so far … Here is the template. Deadline is 19th July 2020

cfa_cmimi20_scientific_abst.docx (285.4 KB)

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Results after quantization on pruned models -

Model accuracy -

Model Size -

Notice that results in some cases are the same as applying quantization directly on the trained models.

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This is AMAZING – great work!

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Link to abstract - https://docs.google.com/document/d/1OlQWkL6KAXgfz9Tt06DjzkQiZFIhBYcd0BhUBZrFdoo/edit?usp=sharing

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Link to week 8 blog post - https://gsoc2020withlibrehealth.blogspot.com/2020/07/week-8-coding-period.html

Link to week 9 blog post - https://gsoc2020withlibrehealth.blogspot.com/2020/08/week-9-coding-period.html

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@aishwhereya any update regarding the inference part and multi label classification? Please let me know once you raise the PR.

@pri2si17 For RSNA Pneumonia Detection, I have finished writing all the scripts (including inference). I will raise the PR for it shortly.

For Chest-XRay14, I have finished quantizing the models. I am currently pruning them and evaluating their performance. Scripts for this dataset will be finished next week and I’ll raise the PR for the same.

Before raising any PR, I want to discuss it with you. So can we talk about it in our weekly Saturday meeting?

Yes @aishwhereya, will do tomorrow.

Link to week 10 blog post - https://gsoc2020withlibrehealth.blogspot.com/2020/08/week-10-coding-period.html

@aishwhereya just a reminder to push your code as I also require time to test it :slight_smile:

I have pushed it. Making a PR for it. The part for testing on Emulator is not included. Just need to update the readme for it.

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Link to week 11 blog post - https://gsoc2020withlibrehealth.blogspot.com/2020/08/week-11-coding-period.html

Results on Chest-XRay 14 dataset -

AUC ROC scores -

Model sizes -

Link to Week 12 blog post - https://gsoc2020withlibrehealth.blogspot.com/2020/08/week-12-coding-period.html

Hi @aishwhereya, this comment is so that you can further comment.

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