MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning.
Journal:
BMC medical imaging
PMID:
33461500
Abstract
BACKGROUND: The increased availability and usage of modern medical imaging induced a strong need for automatic medical image segmentation. Still, current image segmentation platforms do not provide the required functionalities for plain setup of medical image segmentation pipelines. Already implemented pipelines are commonly standalone software, optimized on a specific public data set. Therefore, this paper introduces the open-source Python library MIScnn.