Link to dataset: https://www.kaggle.com/c/histopathologic-cancer-detection/overview

Dataset is also available at:

cluster.cs.earlham.edu:/eccs/home/afarah18/488/markIII/histopathologic-cancer-detection

Link to Paper: https://portfolios.cs.earlham.edu/wp-content/uploads/2021/03/paper488.pdf

Link to Video: https://www.youtube.com/watch?v=G01y0ZLKST4

Link to Poster: https://portfolios.cs.earlham.edu/wp-content/uploads/2021/03/poster.pdf

basicCNN.py -> This file includes code for training a model with randomly initilized weights and biases

VGGCNN.py -> This file includes code for training a VGG model with ImageNet transfer learning

VGGLessData.py -> This file includes code for training VGG with transfer learning with half of the dataset

validate.py -> This file includes code for evaluating the results of the three models

After installing the dependencies each file can be run simply by using:

python3 <filename>

Naturally validation file has to be run after all three models have been trained and saved as .h5 files.

• NumPy
• Pandas
• TensorFlow
• Keras
• MatplotLib