Early detection of breast cancer seemingly increases a patient's chances of survival and previous studies have shown the successful application of Convolutional Neural Network (CNN) to classify Invasive Ductal Carcinoma (IDC) type cancer from Breast Histopathology images.
In this project, we aim to further enhance the classification performance of CNNs using transfer learning model of VGG16. We also employ techniques like Regularization, Early Stopping, Data Augmentation, Cross Validation and Hyperparameter Optimization during various phases of the project.
Table of Contents
Early detection of breast cancer seemingly increases a patient's chances of survival and previous studies have shown the successful application of Convolutional Neural Network (CNN) to classify Invasive Ductal Carcinoma (IDC) type cancer from Breast Histopathology images.
In this project, we aim to further enhance the classification performance of CNNs using transfer learning model of VGG16. We also employ techniques like Regularization, Early Stopping, Data Augmentation, Cross Validation and Hyperparameter Optimization during various phases of the project.
- Sample code number: id number
- Clump Thickness: 1 - 10
- Uniformity of Cell Size: 1 - 10
- Uniformity of Cell Shape: 1 - 10
- Marginal Adhesion: 1 - 10
- Single Epithelial Cell Size: 1 - 10
- Bare Nuclei: 1 - 10
- Bland Chromatin: 1 - 10
- Normal Nucleoli: 1 - 10
- Mitoses: 1 - 10
- Class: (2 for benign, 4 for malignant)
- Install Python and Jupyter studio
- Clone repo, cd into it and open the
Proj F IDC Classification.ipynbnotebook in Jupyter.
- Github: https://github.com/kaushikjadhav01
- Medium: https://medium.com/@kaushikjadhav01
- LinkedIn: https://www.linkedin.com/in/kaushikjadhav01/
- Portfolio: http://kajadhav.me/
- Linked In: https://www.linkedin.com/in/kajadhav/
- Dev.to: https://dev.to/kaushikjadhav01
- Codesignal: https://app.codesignal.com/profile/kaushik_j_vtc
- Google Scholar: https://scholar.google.com/citations?user=iRYcFi0AAAAJ
- Daily.dev: https://app.daily.dev/kaushikjadhav01
- Google devs: https://developers.google.com/profile/u/kaushikjadhav01
- Stack Overflow: https://stackoverflow.com/users/21890981/kaushik-jadhav