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AUTOMATED CLASSIFICATION OF SUBCELLULAR PATTERNS IN MULTICELL IMAGES WITHOUT SEGMENTATION INTO SINGLE CELLS
AUTOMATED CLASSIFICATION OF SUBCELLULAR PATTERNS MULTICELL IMAGES
2009/12/23
Fluorescence microscope images capture information from
an entire field of view, which often comprises several cells
scattered on the slide. We have previously trained
classifiers to accurately pre...
A Stochastic-Variational Model for Soft Mumford-Shah Segmentation
Stochastic-Variational Model Soft Mumford-Shah Segmentation
2009/9/8
In contemporary image and vision analysis, stochastic approaches demonstrate great flexibility in representing and modeling complex phenomena, while variational-PDE methods gain enormous computational...
3D Brain Segmentation Using Dual-Front Active Contours with Optional User Interaction
3D Brain Segmentation Interaction
2009/9/8
Important attributes of 3D brain cortex segmentation algorithms include robustness, accuracy, computational efficiency, and facilitation of user interaction, yet few algorithms incorporate all of thes...
