Python Image Processing Cookbook

Brain tumor segmentation using deep learning

Run the following steps to segment an MR T2/flair brain image, this time using a pretrained deep learning model in Keras:

1. Start by importing the required libraries:

import keras            #version 2.3.1from keras.models import model_from_jsonfrom keras.utils.vis_utils import plot_modelfrom skimage.transform import resizefrom keras.utils.vis_utils import model_to_dotkeras.utils.vis_utils.pydot = pydot

2. First, download the pretrained weights for the deep learning (Unet) model from https://drive.google.com/file/d/1hE9It0ZOOeIuSFvt6GdiR_0cq9inWdTy/view (uploaded to the GitHub repository at https://github.com/polo8214/Brain-tumor-segmentation-using-deep-learning/). Load the model structure from the .json file ...