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MRF driven region-based active contour model for lesion region segmentation of breast MR image
LCIB
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This movie demonstrates MRF driven region-based active contour (MaRACel) model for lesion region segmentation of breast MR image. MaRACel model incorporates MRF prior into ...
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MRF driven region-based active contour model for lumen region segmentation on prostate biopsies
LCIB
344 views
This movie demonstrates MRF driven region-based active contour (MaRACel) model for lumen region segmentation on prostate biopies. MaRACel model incorporates MRF prior into ...
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High-throughput system for detecting cancerous regions in prostate histological sections
LCIB
196 views
This is a demonstration of our high-throughput system for detecting cancerous regions in histological sections from radical prostatectomies using probabilistic pairwise Mar...
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Automated boundary segmentation of lymphocyte cells on a histology slide
LCIB
227 views
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EMaGACOR in action on a histology slide specimen
LCIB
172 views
Expectation Maximization driven Geodesic Active Contour with Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology
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Expectation-Maximization driven Level Set Model for Gland Segmentation on Prostate Histology Images
LCIB
701 views
EM driven integrated region- and boundary-based level set model is applied for Gland Segmentation of Prostate Histological Image. The region term employs statistical inform...
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Expectation-Maximization driven Level Set Model for Tumor Region Segmentation in Breast MRI Imagery
LCIB
617 views
EM driven integrated region- and boundary-based level set model is applied for tumor region segmentation of breast MRI image. The region and boudary information are extract...
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Searching for the prostate boundary using 3D ASMs
LCIB
130 views
Colors represent probabilities of pixels belonging to the boundary of the prostate. The dot shows the search progress along the boundary for the optimal boundary locations.
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HistoStitcher Demo Output
LCIB
114 views
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HistoStitcher Demo
LCIB
159 views
About Laboratory for Computational Imaging and Bioinformatics
At the Laboratory for Computational Imaging and Informatics at Rutgers University, we are involved in the development of novel machine learning, image analysis, computer vision, signal processing, segmentation, and multi-modal registration tools to facilitate efficient synergistic analysis and correlation of disease signatures across multiple scales, modalities, and functionalities -- from gene and protein expression to spectroscopy to histopathology and to MRI with an emphasis on prostate and more recently breast cancer. Check us out at http://lcib.rutgers.edu/
At the Laboratory for Computational Imaging and Informatics at Rutgers University, we are involved in the development of novel machine learning, image analysis, computer vision, signal processing, segmentation, and multi-modal registration tools t...
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