Segmentation in Skeletal Scintigraphy Images using Convolutional Neural Networks
In this work we have addressed the task of segmentation in skeletal scintigraphy images with deep learning models, where we research different approaches to convert convolutional neural networks designed for classification tasks to powerful pixel wise predictors. We explore different network architectures where two primary research paths have been followed. Firstly, an encoder-decoder architecture
