TensorFlow Classification Neural Network

An experiment on breast cancer classification using tensorflow!

Description

• Dataset of 7130 Benign and Malignant Cells
• Features extracted from InceptionResNetV2
• Lost Function:binary_crossentropy
• Optimizer:Adam
• File Description
  • Breast_Cancer_Model_Creation.ipynb: Creates the model that classifies and gives TPR,FPR,ACC results
  • DCM_File_Paths_Reduced.csv: Metadata
  • Two halves
    • Model_Loader.ipynb: Loads extracted models
    • Feature_Extractor.ipynb: Model extractor for future use

How to run the code

• Paperspace (No installation + Click and Run)
  • https://console.paperspace.com/seabebop/notebook/rrkjmay999ly8zn
• Manually (Requires dataset):
  • https://drive.google.com/file/d/1OMs21rb6lZHd06W_AA4l_d-LUYpK_TZC/view?usp=sharing
  • The main file is Breast_Cancer_Model_Creation.ipynb
    • Extract the dataset from tar and then you will be able to run all cells from there