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Found 5 papers, 0 papers with code
Harmonizing the Generation and Pre-publication Stewardship of FAIR Image Data
Together with the molecular knowledge of genes and proteins, biological images promise to significantly enhance the scientific understanding of complex cellular systems and to advance predictive and personalized therapeutic products for human health.
IBEX: An open and extensible method for high content multiplex imaging of diverse tissues
We recently developed Iterative Bleaching Extends multi-pleXity (IBEX), an iterative immunolabeling and chemical bleaching method that enables multiplexed imaging (>65 parameters) in diverse tissues, including human organs relevant for international consortia efforts.
A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation
We show that the proposed regularization method improves both binary and multi-class segmentation performance over the corresponding state-of-the-art CNN architectures on two publicly available cardiac cine MRI datasets, obtaining average dice coefficient of 0. 84$\pm$0. 03 and 0. 91$\pm$0. 04, respectively.
Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning
Segmentation of the left ventricle and quantification of various cardiac contractile functions is crucial for the timely diagnosis and treatment of cardiovascular diseases.
Scalable Simple Linear Iterative Clustering (SSLIC) Using a Generic and Parallel Approach
Superpixel algorithms have proven to be a useful initial step for segmentation and subsequent processing of images, reducing computational complexity by replacing the use of expensive per-pixel primitives with a higher-level abstraction, superpixels.
