Overview / Usage

Images visualizing proteins in cells are commonly used for biomedical research, and these cells could hold the key for the next breakthrough in medicine. These images are generated at a far greater pace than what can be manually evaluated. Therefore, the need is greater than ever for automating biomedical image analysis.

Methodology / Approach

We aim to use a pre-trained model that is the InceptionResNet before applying our own model for human protein image classification. Weights of the InceptionResNet are first downloaded from https://github.com/fchollet/deep-learning-models/releases then we build are own set of layers on the top of the pre-trained model. Our model comprises of layers including batch normalization, flatten, dense, convolution and max pool.

Technologies Used

TensorFlow
Python