Region-based U-net for accelerated training and enhanced precision in
deep brain segmentation
Region-based U-net for accelerated training and enhanced precision in
deep brain segmentation
Segmentation of brain structures on MRI is the primary step for further quantitative analysis of brain diseases. Manual segmentation is still considered the gold standard in terms of accuracy; however, such data is extremely time-consuming to generate. This paper presents a deep learning-based segmentation approach for 12 deep-brain structures, utilizing …