Fig. 1From: Fully automated identification of brain abnormality from whole-body FDG-PET imaging using deep learning-based brain extraction and statistical parametric mappingBrief outline of the automatic brain extraction. We trained the model with two manually drawn bounding boxes on maximal intensity projection (MIP) images. ResNet-50, a convolutional neural network (CNN) was used for learning model. Internal validation of model was performed. Finally, the brain volume was extracted and spatially normalized to the template spaceBack to article page