Abstract
Abstract
Authors
Institutions
Provenance
crossref
Confidence 100%
pubmed
Confidence 98%
europepmc
Confidence 96%
unpaywall
Confidence 95%
openalex
Confidence 95%
doaj
Confidence 92%
datacite
Confidence 0%
No local reference links have been materialized yet.
Digital images and the future of digital pathology
10.4103/2153-3539.68332 · 2010
10.1146/annurev-bioeng-071516-044442
10.1146/annurev-bioeng-071516-044442
10.1146/annurev-bioeng-112415-114722
10.1146/annurev-bioeng-112415-114722
Digital pathology image analysis: opportunities and challenges
10.2217/iim.09.9 · 2009
10.1109/rbme.2009.2034865
10.1109/rbme.2009.2034865
10.1016/j.media.2017.07.005
10.1016/j.media.2017.07.005
10.1109/rbme.2016.2515127
10.1109/rbme.2016.2515127
Unresolved referenced work
2012
Unresolved referenced work
2015
10.1016/j.neucom.2016.01.034
10.1016/j.neucom.2016.01.034
Unresolved referenced work
2016
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
10.1038/srep26286 · 2016
Unresolved referenced work
2017
Unresolved referenced work
2016
Unresolved referenced work
2016
Unresolved referenced work
2017
MRF-ANN: a machine learning approach for automated ER scoring of breast cancer immunohistochemical images
10.1111/jmi.12552 · 2017
Unresolved referenced work
2015
Unresolved referenced work
2016
Mitosis detection in breast cancer histological images An ICPR 2012 contest
10.4103/2153-3539.112693 · 2013
Unresolved referenced work
2016
Machine learning approaches to analyze histological images of tissues from radical prostatectomies
10.1016/j.compmedimag.2015.08.002 · 2015
10.1016/j.media.2016.08.008
10.1016/j.media.2016.08.008
Quantification of tumour budding, lymphatic vessel density and invasion through image analysis in colorectal cancer
10.1186/1479-5876-12-156 · 2014
Content-based histopathology image retrieval using a kernel-based semantic annotation framework
10.1016/j.jbi.2011.01.011 · 2011
Unresolved referenced work
2009
Content-based histopathology image retrieval using CometCloud
10.1186/1471-2105-15-287 · 2014
10.4103/2153-3539.159441
10.4103/2153-3539.159441
Unresolved referenced work
2014
Out-of-sample extrapolation utilizing semi-supervised manifold learning (OSE-SSL): content based image retrieval for histopathology images
10.1038/srep27306 · 2016
Towards large-scale histopathological image analysis: Hashing-based image retrieval
10.1109/tmi.2014.2361481 · 2015
10.1007/978-4-431-55705-0_1
10.1007/978-4-431-55705-0_1 · 2016
10.1038/ng.2764
10.1038/ng.2764
Clinicopathological correlates of activating GNAS mutations in intraductal papillary mucinous neoplasm (IPMN) of the pancreas
10.1245/s10434-013-3096-1 · 2013
Comprehensive histologic analysis of ALK-rearranged lung carcinomas
10.1097/pas.0b013e3182233e06 · 2011
10.1126/scitranslmed.3002564
10.1126/scitranslmed.3002564
10.1038/ncomms12474
10.1038/ncomms12474
Unresolved referenced work
2017
Unresolved referenced work
2017
Unresolved referenced work
Kept as external metadata until matched
Computerized image-based detection and grading of lymphocytic infiltration in HER2+ breast cancer histopathology
10.1109/tbme.2009.2035305 · doi-reference
Multiparametric immune profiling in HPV− oral squamous cell cancer
10.1172/jci.insight.93652 · doi-reference
10.4103/2153-3539.189703
10.4103/2153-3539.189703 · doi-reference
10.1117/12.2216448
10.1117/12.2216448 · doi-reference
Evaluating the visualization of what a deep neural network has learned
10.1109/tnnls.2016.2599820 · doi-reference
A comparative study of texture measures with classification based on featured distributions
10.1016/0031-3203(95)00067-4 · doi-reference
A novel method for morphological pleomorphism and heterogeneity quantitative measurement: named cell feature level co-occurrence matrix
10.4103/2153-3539.189699 · doi-reference
10.1016/s0004-3702(96)00034-3
10.1016/s0004-3702(96)00034-3 · doi-reference
10.4103/2153-3539.186902
10.4103/2153-3539.186902 · doi-reference
10.1109/tmi.2017.2677499
10.1109/tmi.2017.2677499 · doi-reference
Continuous representation of tumor microvessel density and detection of angiogenic hotspots in histological whole-slide images
10.18632/oncotarget.4383 · doi-reference
The Stanford tissue microarray database
10.1093/nar/gkm861 · doi-reference
10.1038/ng.2653
10.1038/ng.2653 · doi-reference
10.1007/s11263-015-0816-y
10.1007/s11263-015-0816-y · doi-reference
Eliminating tissue-fold artifacts in histopathological whole-slide images for improved image-based prediction of cancer grade
10.4103/2153-3539.117448 · doi-reference
A nonlinear mapping approach to stain normalization in digital histopathology images using image-specific color deconvolution
10.1109/tbme.2014.2303294 · doi-reference
Stain specific standardization of whole-slide histopathological images
10.1109/tmi.2015.2476509 · doi-reference
Identification of tumor epithelium and stroma in tissue microarrays using texture analysis
10.1186/1746-1596-7-22 · doi-reference
A texture based pattern recognition approach to distinguish melanoma from non-melanoma cells in histopathological tissue microarray sections
10.1371/journal.pone.0062070 · doi-reference
Multi-class texture analysis in colorectal cancer histology
10.1038/srep27988 · doi-reference
Accurate segmentation of cervical cytoplasm and nuclei based on multiscale convolutional network and graph partitioning
10.1109/tbme.2015.2430895 · doi-reference
Breast cancer multi-classification from histopathological images with structured deep learning model
10.1038/s41598-017-04075-z · doi-reference
Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features
10.1186/s12859-017-1685-x · doi-reference
10.1007/978-3-319-24888-2_32
10.1007/978-3-319-24888-2_32 · doi-reference
A structured latent model for ovarian carcinoma subtyping from histopathology slides
10.1016/j.media.2017.04.008 · doi-reference
Parallel multiple instance learning for extremely large histopathology image analysis
10.1186/s12859-017-1768-8 · doi-reference
Weakly supervised histopathology cancer image segmentation and classification
10.1016/j.media.2014.01.010 · doi-reference
An active learning approach for rapid characterization of endothelial cells in human tumors
10.1371/journal.pone.0090495 · doi-reference
An active learning based classification strategy for the minority class problem: application to histopathology annotation
10.1186/1471-2105-12-424 · doi-reference
Localization of diagnostically relevant regions of interest in whole slide images: a comparative study
10.1007/s10278-016-9873-1 · doi-reference
Mouse cursor movement and eye tracking data as an indicator of pathologists' attention when viewing digital whole slide images
10.4103/2153-3539.104905 · doi-reference
10.1093/bioinformatics/btw013
10.1093/bioinformatics/btw013 · doi-reference