MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

Understand

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.