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Using different deep learning methods on different datasets to identify if given Mammograph is malignant.

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Breast_cancer_detection

First, download the INBreast dataset from below link - https://drive.google.com/file/d/19n-p9p9C0eCQA1ybm6wkMo-bbeccT_62/view

Preprocess the INBreast dataset images,

python preprocess.py --input-dir "path_to_AllDICOMs" --output-dir "path_to_output_dir"

After preprocessing, to train the multi-stream view wise model

python training.py --data-path "path_to_output_dir/data.pkl" --image-path "path_to_output_dir/cropped_images" --annotation "path_to_INbreast.xls" --num-rows 410 --device-type "cuda/cpu"

To train the traditional classifiers on DDSM/INBreast dataset head over to pretrained_classifier.ipynb

Checkout the report for detailed explanation.

Reference

Multi-stream Breast Cancer Classification

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Using different deep learning methods on different datasets to identify if given Mammograph is malignant.

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