A flexible and robust approach for segmenting cell nuclei from 2D microscopy images using supervised learning and template matching
Cheng Chen(Carnegie Mellon University), Gustavo K. Rohde(University of North Carolina at Chapel Hill), John A. Ozolek(Boston Children's Hospital), Wei Wang(Carnegie Mellon University)
Cited by 72
Related Papers
Comprehensive approach for correction of motion and distortion in diffusion‐weighted MRI
|Magnetic Resonance in Medicine|2003|547
New modeling and experimental framework to characterize hindered and restricted water diffusion in brain white matter
|Magnetic Resonance in Medicine|2004|512
Optimal Mass Transport: Signal processing and machine-learning applications
|IEEE Signal Processing Magazine|2017|437
The adaptive bases algorithm for intensity-based nonrigid image registration
|IEEE Transactions on Medical Imaging|2003|403
An In-Depth Survey of Underwater Image Enhancement and Restoration
|IEEE Access|2019|191