https://github.com/darraghdog/cervical
Cervical Cancer Detection
https://github.com/darraghdog/cervical
Last synced: 2 months ago
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Cervical Cancer Detection
- Host: GitHub
- URL: https://github.com/darraghdog/cervical
- Owner: darraghdog
- Created: 2017-05-07T19:04:18.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2017-06-24T20:10:41.000Z (almost 8 years ago)
- Last Synced: 2025-02-13T10:36:24.617Z (4 months ago)
- Language: Jupyter Notebook
- Size: 4.46 MB
- Stars: 0
- Watchers: 4
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Cervical Cancer Detection (@Kaggle @Intel)
Models include resnet50, vgg16 along with dhash of images.
### Steps to reproduce
Unzip folder in main directory `kaggle_cervical-master.zip` and run as per readme instructions to get the `parse_predictions_file/bebhionn_submission.csv` file. Place this in the sub/ directory.
Unzip folder in main directory `cervical-master.zip` and run as per respective readme instructions to get the `parse_predictions_file/output.csv` file. Place this in the sub/ directory.
Directory Structure to set up locally
```
features/
data/
--- Type_1/
--- Type_2/
--- Type_3/
--- train/Type_1/
--- train/Type_2/
--- train/Type_3/
feat/
sub/
```
Download the competition data to the above folders.
Remove the following files
```
rm /additional/Type_1/3068.jpg
rm /additional/Type_1/5893.jpg# (empty)
rm /additional/Type_2/2845.jpg# (empty)
rm /additional/Type_2/5892.jpg# (empty)
rm /additional/Type_2/7.jpg
```
Run the scripts in folder `final` in sequence.
```
1_save_original_small.py
2_make_cv.py
3_rectangle_generator.py
4_get_test_dupes.py
5_resnet50_full_raw-capAdditional-10x-cut0.2.ipynb
6_resnet50_full_raw-capAdditional-10x-cut0.4.ipynb
7_resnet50_full_raw-capAdditional-10x-cut0.6.ipynb
8_resnet50_full_gmm-capAdditional-10x-cut0.2.ipynb
9_ClipAndSub.R # Submission 1 : Darragh & Dave
10_ClipAndSub.R # Submission 2 : Damian & Darragh
```