Previously, we modified the MNIST For ML Beginners Tutorial to process Mini-MIAS imagery [http://jacob.vi/modifying-tensorflows-mnist-for-beginners-tutorial-to-search-for-cancer-in-mammograms/] . The results of this were not great. Let's try this again but with a simple Multilayer Convolutional Network (CNN) in TensorFlow [https://www.tensorflow.org/versions/r0.11/tutorials/mnist/pros/…
Google's TensorFlow project has posted many tutorials showing how machine learning can be used to classify images. We are going to go through these tutorials and adapt each to detecting cancer in mammography. We will start with the MNIST For ML Beginners [https://www.tensorflow.org/versions/r0.…
In order to build a machine learning model to help us with mammography-based diagnosis[1] we will need data to train our models. Thankfully, there are a number of data sets publicly available. University of South Florida Digital Database for Screening Mammography [http://marathon.csee.usf.edu/Mammography/Database.html]…