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TECHNICAL NOTE

OpenSlide: A vendor-neutral software foundation for digital pathology

Goode Adam, Gilbert Benjamin, Harkes Jan, Jukic Drazen, Satyanarayanan Mahadev

Year : 2013| Volume: 4| Issue : 1 | Page no: 27-27

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2 Model architecture and tile size selection for convolutional neural network training for non-small cell lung cancer detection on whole slide images
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[Pubmed]  [Google Scholar] [DOI]
3 Big-Hypergraph Factorization Neural Network for Survival Prediction From Whole Slide Image
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[Pubmed]  [Google Scholar] [DOI]
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5 Recent technical advances in whole slide imaging instrumentation
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[Pubmed]  [Google Scholar] [DOI]
6 SPIE-AAPM-NCI BreastPathQ challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment
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Journal of Medical Imaging. 2021; 8(03)
[Pubmed]  [Google Scholar] [DOI]
7 Rocky road to digital diagnostics: implementation issues and exhilarating experiences
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[Pubmed]  [Google Scholar] [DOI]
8 DICOM Format and Protocol Standardization—A Core Requirement for Digital Pathology Success
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[Pubmed]  [Google Scholar] [DOI]
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[Pubmed]  [Google Scholar] [DOI]
10 Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion
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[Pubmed]  [Google Scholar] [DOI]
11 Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study
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[Pubmed]  [Google Scholar] [DOI]
12 Performance-efficient distributed transfer and transformation of big spatial histopathology datasets in the cloud
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Journal of Big Data. 2021; 8(1)
[Pubmed]  [Google Scholar] [DOI]
13 An efficient glomerular object locator for renal whole slide images using proposal-free network and dynamic scale evaluation method
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[Pubmed]  [Google Scholar] [DOI]
14 Histopathological Images and Multi-Omics Integration Predict Molecular Characteristics and Survival in Lung Adenocarcinoma
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[Pubmed]  [Google Scholar] [DOI]
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[Pubmed]  [Google Scholar] [DOI]
16 Deep Learning Predicts EBV Status in Gastric Cancer Based on Spatial Patterns of Lymphocyte Infiltration
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[Pubmed]  [Google Scholar] [DOI]
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Journal of Imaging. 2021; 7(4): 71
[Pubmed]  [Google Scholar] [DOI]
21 Retinex model based stain normalization technique for whole slide image analysis
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[Pubmed]  [Google Scholar] [DOI]
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Computational and Structural Biotechnology Journal. 2021; 19: 4840
[Pubmed]  [Google Scholar] [DOI]
23 Histopathological image and gene expression pattern analysis for predicting molecular features and prognosis of head and neck squamous cell carcinoma
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[Pubmed]  [Google Scholar] [DOI]
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[Pubmed]  [Google Scholar] [DOI]
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[Pubmed]  [Google Scholar] [DOI]
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[Pubmed]  [Google Scholar] [DOI]
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[Pubmed]  [Google Scholar] [DOI]
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Scientific Reports. 2021; 11(1)
[Pubmed]  [Google Scholar] [DOI]
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[Pubmed]  [Google Scholar] [DOI]
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[Pubmed]  [Google Scholar] [DOI]
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American Journal of Clinical Pathology. 2021; 156(1): 117
[Pubmed]  [Google Scholar] [DOI]
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Bioinformatics. 2021; 37(18): 3082
[Pubmed]  [Google Scholar] [DOI]
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[Pubmed]  [Google Scholar] [DOI]
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Bioinformatics. 2021; 37(21): 3995
[Pubmed]  [Google Scholar] [DOI]
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GigaScience. 2021; 10(7)
[Pubmed]  [Google Scholar] [DOI]
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Kun-Hsing Yu, Feiran Wang, Gerald J Berry, Christopher Ré, Russ B Altman, Michael Snyder, Isaac S Kohane
Journal of the American Medical Informatics Association. 2020; 27(5): 757
[Pubmed]  [Google Scholar] [DOI]
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Scientific Data. 2020; 7(1)
[Pubmed]  [Google Scholar] [DOI]
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Clinical and Translational Medicine. 2020; 10(2)
[Pubmed]  [Google Scholar] [DOI]
40 Pathadin – The essential set of tools to start with whole slide analysis
Georgi Dzaparidze, Dmitri Kazachonok, Kristi Laht, Heleri Taelma, Ave Minajeva
Acta Histochemica. 2020; 122(7): 151619
[Pubmed]  [Google Scholar] [DOI]
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Han Le, Rajarsi Gupta, Le Hou, Shahira Abousamra, Danielle Fassler, Luke Torre-Healy, Richard A. Moffitt, Tahsin Kurc, Dimitris Samaras, Rebecca Batiste, Tianhao Zhao, Arvind Rao, Alison L. Van Dyke, Ashish Sharma, Erich Bremer, Jonas S. Almeida, Joel Saltz
The American Journal of Pathology. 2020; 190(7): 1491
[Pubmed]  [Google Scholar] [DOI]
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Erich Bremer, Joel Saltz, JonasS Almeida
Journal of Pathology Informatics. 2020; 11(1): 29
[Pubmed]  [Google Scholar] [DOI]
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Cancers. 2020; 12(12): 3687
[Pubmed]  [Google Scholar] [DOI]
44 Stemness Related Genes Revealed by Network Analysis Associated With Tumor Immune Microenvironment and the Clinical Outcome in Lung Adenocarcinoma
Hao Zeng, Jianrui Ji, Xindi Song, Yeqian Huang, Hui Li, Juan Huang, Xuelei Ma
Frontiers in Genetics. 2020; 11
[Pubmed]  [Google Scholar] [DOI]
45 Integrative Models of Histopathological Image Features and Omics Data Predict Survival in Head and Neck Squamous Cell Carcinoma
Hao Zeng, Linyan Chen, Yeqian Huang, Yuling Luo, Xuelei Ma
Frontiers in Cell and Developmental Biology. 2020; 8
[Pubmed]  [Google Scholar] [DOI]
46 Transcriptome Response and Spatial Pattern of Gene Expression in the Primate Subventricular Zone Neurogenic Niche After Cerebral Ischemia
Monika C. Chongtham, Haifang Wang, Christina Thaller, Nai-Hua Hsiao, Ivan H. Vachkov, Stoyan P. Pavlov, Lorenz H. Williamson, Tetsumori Yamashima, Anastassia Stoykova, Jun Yan, Gregor Eichele, Anton B. Tonchev
Frontiers in Cell and Developmental Biology. 2020; 8
[Pubmed]  [Google Scholar] [DOI]
47 PyHIST: A Histological Image Segmentation Tool
Manuel Muńoz-Aguirre, Vasilis F. Ntasis, Santiago Rojas, Roderic Guigó, Dina Schneidman-Duhovny
PLOS Computational Biology. 2020; 16(10): e1008349
[Pubmed]  [Google Scholar] [DOI]
48 Predicting primary site of secondary liver cancer with a neural estimator of metastatic origin
Geoffrey F. Schau, Erik A. Burlingame, Guillaume Thibault, Tauangtham Anekpuritanang, Ying Wang, Joe W. Gray, Christopher Corless, Young H. Chang
Journal of Medical Imaging. 2020; 7(01): 1
[Pubmed]  [Google Scholar] [DOI]
49 Inviwo — A Visualization System with Usage Abstraction Levels
Daniel Jonsson, Peter Steneteg, Erik Sunden, Rickard Englund, Sathish Kottravel, Martin Falk, Anders Ynnerman, Ingrid Hotz, Timo Ropinski
IEEE Transactions on Visualization and Computer Graphics. 2020; 26(11): 3241
[Pubmed]  [Google Scholar] [DOI]
50 Whole Slide Imaging: Technology and Applications
Matthew G. Hanna, Anil Parwani, Sahussapont Joseph Sirintrapun
Advances in Anatomic Pathology. 2020; 27(4): 251
[Pubmed]  [Google Scholar] [DOI]
51 A Novel MKL Method for GBM Prognosis Prediction by Integrating Histopathological Image and Multi-Omics Data
Ya Zhang, Ao Li, Jie He, Minghui Wang
IEEE Journal of Biomedical and Health Informatics. 2020; 24(1): 171
[Pubmed]  [Google Scholar] [DOI]
52 AI in Medical Imaging Informatics: Current Challenges and Future Directions
Andreas S. Panayides, Amir Amini, Nenad D. Filipovic, Ashish Sharma, Sotirios A. Tsaftaris, Alistair Young, David Foran, Nhan Do, Spyretta Golemati, Tahsin Kurc, Kun Huang, Konstantina S. Nikita, Ben P. Veasey, Michalis Zervakis, Joel H. Saltz, Constantinos S. Pattichis
IEEE Journal of Biomedical and Health Informatics. 2020; 24(7): 1837
[Pubmed]  [Google Scholar] [DOI]
53 Deep-learning-based accurate hepatic steatosis quantification for histological assessment of liver biopsies
Mousumi Roy, Fusheng Wang, Hoang Vo, Dejun Teng, George Teodoro, Alton B. Farris, Eduardo Castillo-Leon, Miriam B. Vos, Jun Kong
Laboratory Investigation. 2020; 100(10): 1367
[Pubmed]  [Google Scholar] [DOI]
54 Image Features Based on Characteristic Curves and Local Binary Patterns for Automated HER2 Scoring
Ramakrishnan Mukundan
Journal of Imaging. 2018; 4(2): 35
[Pubmed]  [Google Scholar] [DOI]
55 A computational method for three-dimensional reconstruction of the microarchitecture of myometrial smooth muscle from histological sections
E. Josiah Lutton,Wim J. E. P. Lammers,Sean James,Hugo A. van den Berg,Andrew M. Blanks,Roger C. Young
PLOS ONE. 2017; 12(3): e0173404
[Pubmed]  [Google Scholar] [DOI]
56 SlideJ: An ImageJ plugin for automated processing of whole slide images
Vincenzo Della Mea,Giulia L. Baroni,David Pilutti,Carla Di Loreto,Helmut Ahammer
PLOS ONE. 2017; 12(7): e0180540
[Pubmed]  [Google Scholar] [DOI]
57 Characterization of tumor-associated T-lymphocyte subsets and immune checkpoint molecules in head and neck squamous cell carcinoma
Axel Lechner, Hans Schlößer, Sacha I. Rothschild, Martin Thelen, Sabrina Reuter, Peter Zentis, Alexander Shimabukuro-Vornhagen, Sebastian Theurich, Kerstin Wennhold, Maria Garcia-Marquez, Lars Tharun, Alexander Quaas, Astrid Schauss, Jörg Isensee, Tim Hucho, Christian Huebbers, Michael von Bergwelt-Baildon, Dirk Beutner
Oncotarget. 2017; 8(27): 44418
[Pubmed]  [Google Scholar] [DOI]
58 Identification of “BRAF-Positive” Cases Based on Whole-Slide Image Analysis
Vlad Popovici,Aleš Krenek,Eva Budinská
BioMed Research International. 2017; 2017: 1
[Pubmed]  [Google Scholar] [DOI]
59 Towards Machine Learned Quality Control: A Benchmark for Sharpness Quantification in Digital Pathology
Gabriele Campanella,Arjun R. Rajanna,Lorraine Corsale,PeterJ. Schüffler,Yukako Yagi,Thomas J. Fuchs
Computerized Medical Imaging and Graphics. 2017;
[Pubmed]  [Google Scholar] [DOI]
60 A Tunable Diffusion-Consumption Mechanism of Cytokine Propagation Enables Plasticity in Cell-to-Cell Communication in the Immune System
Alon Oyler-Yaniv,Jennifer Oyler-Yaniv,Benjamin M. Whitlock,Zhiduo Liu,Ronald N. Germain,Morgan Huse,Grégoire Altan-Bonnet,Oleg Krichevsky
Immunity. 2017; 46(4): 609
[Pubmed]  [Google Scholar] [DOI]
61 Aufbruch in die digitale Neuropathologie
Konrad Kölble,Ingmar Blümcke
Zeitschrift für Epileptologie. 2017;
[Pubmed]  [Google Scholar] [DOI]
62 Enhanced image similarity analysis system in digital pathology
Jae-Gu Lee,Kyung-Chan Choi,Seung-Ho Yeon,Jeong Won Kim,Young-Woong Ko
Multimedia Tools and Applications. 2017;
[Pubmed]  [Google Scholar] [DOI]
63 Retrieve similar cell images in OpenSlide file
Jae Gu Lee,Young Woong Ko
Multimedia Tools and Applications. 2017;
[Pubmed]  [Google Scholar] [DOI]
64 QuPath: Open source software for digital pathology image analysis
Peter Bankhead,Maurice B. Loughrey,José A. Fernández,Yvonne Dombrowski,Darragh G. McArt,Philip D. Dunne,Stephen McQuaid,Ronan T. Gray,Liam J. Murray,Helen G. Coleman,Jacqueline A. James,Manuel Salto-Tellez,Peter W. Hamilton
Scientific Reports. 2017; 7(1)
[Pubmed]  [Google Scholar] [DOI]
65 Image-based surrogate biomarkers for molecular subtypes of colorectal cancer
Vlad Popovici,Eva Budinská,Ladislav Dušek,Michal Kozubek,Fred Bosman
Bioinformatics. 2017; 33(13): 2002
[Pubmed]  [Google Scholar] [DOI]
66 OpenTein: a database of digital whole-slide images of stem cell-derived teratomas
Sung-Joon Park,Yusuke Komiyama,Hirofumi Suemori,Akihiro Umezawa,Kenta Nakai
Nucleic Acids Research. 2016; 44(D1): D1000
[Pubmed]  [Google Scholar] [DOI]
67 Embracing an integromic approach to tissue biomarker research in cancer: Perspectives and lessons learned
Gerald Li,Peter Bankhead,Philip D Dunne,Paul G O’Reilly,Jacqueline A James,Manuel Salto-Tellez,Peter W Hamilton,Darragh G McArt
Briefings in Bioinformatics. 2016; : bbw044
[Pubmed]  [Google Scholar] [DOI]
68 Technical Challenges of Enterprise Imaging: HIMSS-SIIM Collaborative White Paper
David A. Clunie,Don K. Dennison,Dawn Cram,Kenneth R. Persons,Mark D. Bronkalla,Henri “Rik” Primo
Journal of Digital Imaging. 2016; 29(5): 583
[Pubmed]  [Google Scholar] [DOI]
69 Effects of glycaemic variability on cardiac remodelling after reperfused myocardial infarction: Evaluation of streptozotocin-induced diabetic Wistar rats using cardiac magnetic resonance imaging
M. Joubert,J. Hardouin,D. Legallois,K. Blanchart,N. Elie,M. Nowoczyn,P. Croisille,L. Coulbault,C. Bor-Angelier,S. Allouche,A. Manrique
Diabetes & Metabolism. 2016;
[Pubmed]  [Google Scholar] [DOI]
70 Content-based analysis of Ki-67 stained meningioma specimens for automatic hot-spot selection
Zaneta Swiderska-Chadaj,Tomasz Markiewicz,Bartlomiej Grala,Malgorzata Lorent
Diagnostic Pathology. 2016; 11(1)
[Pubmed]  [Google Scholar] [DOI]
71 Automated Histology Analysis: Opportunities for signal processing
Michael T McCann,John A. Ozolek,Carlos A. Castro,Bahram Parvin,Jelena Kovacevic
IEEE Signal Processing Magazine. 2015; 32(1): 78
[Pubmed]  [Google Scholar] [DOI]
72 Robot-Guided Atomic Force Microscopy for Mechano-Visual Phenotyping of Cancer Specimens
Wenjin Chen,Zachary Brandes,Rajarshi Roy,Marina Chekmareva,Hardik J. Pandya,Jaydev P. Desai,David J. Foran
Microscopy and Microanalysis. 2015; 21(05): 1224
[Pubmed]  [Google Scholar] [DOI]
73 Pan-cancer analysis of the extent and consequences of intratumor heterogeneity
Noemi Andor,Trevor A Graham,Marnix Jansen,Li C Xia,C Athena Aktipis,Claudia Petritsch,Hanlee P Ji,Carlo C Maley
Nature Medicine. 2015; 22(1): 105
[Pubmed]  [Google Scholar] [DOI]
74 Machine learning approaches to analyze histological images of tissues from radical prostatectomies
Arkadiusz Gertych,Nathan Ing,Zhaoxuan Ma,Thomas J. Fuchs,Sadri Salman,Sambit Mohanty,Sanica Bhele,Adriana Velásquez-Vacca,Mahul B. Amin,Beatrice S. Knudsen
Computerized Medical Imaging and Graphics. 2015; 46: 197
[Pubmed]  [Google Scholar] [DOI]
75 An adaptable navigation strategy for Virtual Microscopy from mobile platforms
Germán Corredor,Eduardo Romero,Marcela Iregui
Journal of Biomedical Informatics. 2015; 54: 39
[Pubmed]  [Google Scholar] [DOI]
76 Customizing Laboratory Information Systems
Peter Gershkovich,John H. Sinard
Advances In Anatomic Pathology. 2015; 22(5): 323
[Pubmed]  [Google Scholar] [DOI]
77 Personalized Oncology Suite: integrating next-generation sequencing data and whole-slide bioimages
Andreas Dander,Matthias Baldauf,Michael Sperk,Stephan Pabinger,Benjamin Hiltpolt,Zlatko Trajanoski
BMC Bioinformatics. 2014; 15(1): 306
[Pubmed]  [Google Scholar] [DOI]

 

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