Commit b4a1dd1f authored by AF3's avatar AF3
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updates to readme

parent b4515867
# Cancer Metastasis using CNNs and transfer learning # Cancer Metastasis using CNNs and transfer learning
#Links ## Links
Link to dataset: https://www.kaggle.com/c/histopathologic-cancer-detection/overview Link to dataset: https://www.kaggle.com/c/histopathologic-cancer-detection/overview
Dataset is also available at: Dataset is also available at:
...@@ -10,10 +10,10 @@ cluster.cs.earlham.edu/eccs/home/afarah18/488/markI/histopathologic-cancer-detec ...@@ -10,10 +10,10 @@ cluster.cs.earlham.edu/eccs/home/afarah18/488/markI/histopathologic-cancer-detec
Link to paper: Link to paper:
#Software architecture diagram ## Software architecture diagram
![Software architecture diagram](https://portfolios.cs.earlham.edu/wp-content/uploads/2021/03/Screen-Shot-2021-03-22-at-11.42.40-PM.png) ![Software architecture diagram](https://portfolios.cs.earlham.edu/wp-content/uploads/2021/03/Screen-Shot-2021-03-22-at-11.42.40-PM.png)
#Files ## Files
basicCNN.py -> This file includes code for training a model with randomly initilized weights and biases basicCNN.py -> This file includes code for training a model with randomly initilized weights and biases
...@@ -23,7 +23,7 @@ VGGLessData.py -> This file includes code for training VGG with transfer learnin ...@@ -23,7 +23,7 @@ VGGLessData.py -> This file includes code for training VGG with transfer learnin
validate.py -> This file includes code for validating the results of the three models validate.py -> This file includes code for validating the results of the three models
#How to use ## How to use
After installing the dependencies each file can be run simply by using: After installing the dependencies each file can be run simply by using:
```bash ```bash
python3 <filename> python3 <filename>
......
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