- Location: National University Singapore
- Project start date: December 2019
- Project end date: January 2021
- Group/Individual: Group
- Individual Contribution: Developed a flask-based front end and the model architecture for classification.
- Project URL : https://github.com/harshithard/breast-cancer-histopathology-classification
Description
Deep Learning Neural Network was trained to classify the images into benign and four malignant classes. The convolutional Neural Network operates on Histopathological images of breast cancer patients. The network was integrated with a flask-based front end. Accuracy of the classifier - 92.8%. The project makes use of a data pipeline for image preprocessing and normalization processes.