Out-of-Sample Extrapolation utilizing Semi-Supervised Manifold Learning (OSE-SSL): Content Based Image Retrieval for Histopathology Images
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Title
Out-of-Sample Extrapolation utilizing Semi-Supervised Manifold Learning (OSE-SSL): Content Based Image Retrieval for Histopathology Images
Authors
Keywords
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Journal
Scientific Reports
Volume 6, Issue 1, Pages -
Publisher
Springer Nature
Online
2016-06-06
DOI
10.1038/srep27306
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Related references
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- An Integrated Region-, Boundary-, Shape-Based Active Contour for Multiple Object Overlap Resolution in Histological Imagery
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- Histology Image Retrieval in Optimized Multifeature Spaces
- (2012) Qianni Zhang et al. IEEE Journal of Biomedical and Health Informatics
- Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data
- (2011) Anant Madabhushi et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
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- (2010) S. Doyle et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
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- Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
- (2009) Xiaofei He IEEE TRANSACTIONS ON IMAGE PROCESSING
- PathMiner: A Web-Based Tool for Computer-Assisted Diagnostics in Pathology
- (2009) Lin Yang et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- An Update of the Gleason Grading System
- (2009) Jonathan I. Epstein JOURNAL OF UROLOGY
- Semantic content analysis and annotation of histological images
- (2008) Feiyang Yu et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Investigating the Efficacy of Nonlinear Dimensionality Reduction Schemes in Classifying Gene and Protein Expression Studies
- (2008) G. Lee et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Density-Weighted Nyström Method for Computing Large Kernel Eigensystems
- (2008) Kai Zhang et al. NEURAL COMPUTATION
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