Breast Cancer Classification using CNN and transfer learning
Absolutely, under NO circumstance, should one ever screen patients using computer vision software trained with this code (or any home made software for that matter).
Check out the corresponding medium blog post https://towardsdatascience.com/convolutional-neural-network-for-breast-cancer-classification-52f1213dcc9.
The dataset can be downloaded from here. This is a binary classification problem. I split the data as shown-
dataset train
benign
b1.jpg
b2.jpg
//
malignant
m1.jpg
m2.jpg
// validation
benign
b1.jpg
b2.jpg
//
malignant
m1.jpg
m2.jpg
//...
- Jupyter Notebook
- Numpy
- Pandas
- Scikit-image
- Matplotlib
- Scikit-learn
- Keras
pip install numpy pandas scikit-image matplotlib scikit-learn keras
jupyter notebook
The model is able to reach a validation accuracy of 98.3%, precision 0.65, recall 0.95, f1 score of 0.77 and ROC-AUC as 0.692.
@misc{Abhinav:2019,
Author = {Abhinav Sagar},
Title = {Breast-cancer-classification},
Year = {2019},
Publisher = {GitHub},
Journal = {GitHub repository},
Howpublished = {\url{https://github.com/abhinavsagar/Breast-cancer-classification}}
}
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MIT License
Copyright (c) 2019 Abhinav Sagar
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.