Disease Identification Made Easy! Breast Cancer Identification using CNNs.
By Mithesh Ramachandran, Sagarika Raje, Kopal Sharma and Ujwal Shah.
📦 DIME
├─ Codes - (All .py files)
│ ├─ NN.py (Model Building)
│ ├─ Preprocessing.py (The preproccessing pipeline)
│ ├─ Visualization_3d.py (The 3D visualization pipeline)
│ ├─ generate arrays.py
│ └─ generate masks.py
├─ DIME APP.mp4 (The app video)
├─ Dime.png (Our product logo)
├─ Images (All images)
│ ├─ DIME APP 2.png (App)
│ ├─ DIME APP 3.png (App)
│ ├─ DIME APP.png (App)
│ ├─ generate mask.png (generate masks.py output image)
│ ├─ img1a.png (PCR)
│ ├─ img1b.png (Non PCR)
│ ├─ plot3d.png (The 3-D plot)
│ └─ samplehist.png (Sample Hist - different from sample CT file)
├─ Models
│ └─ final_model.h5 (Only in Google Drive) (Our final trained model)
├─ Notebooks
│ ├─ DIME.ipynb (The notebook used in this project)
├─ README.md (This file)
├─ Samples
│ ├─ 1-01 (1) (2).dcm (Sample dicom image)
├─ app.py (The app main file)
├─ requirements.txt (App requirements)
└─ requirements (Notebook requirements)
└─ requirements.txt (Notebook requirements)