Journal of Pathology Informatics Journal of Pathology Informatics
Contact us | Home | Login   |  Users Online: 505  Print this pageEmail this pageSmall font sizeDefault font sizeIncrease font size 


    Article Cited by others

SYMPOSIUM - NEW FRONTIERS IN DIGITAL PATHOLOGY

Digital images and the future of digital pathology

Pantanowitz Liron

Year : 2010| Volume: 1| Issue : 1 | Page no: 15-15

   This article has been cited by
 
1 Patoloji Görüntülerinin Derin Ögrenme Yöntemleri Ile Siniflandirilmasi
Meral KARAKURT, Ismail ISERI
European Journal of Science and Technology. 2022;
[Pubmed]  [Google Scholar] [DOI]
2 Artificial Intelligence and Machine Learning in Prostate Cancer Patient Management—Current Trends and Future Perspectives
Octavian Sabin Tataru, Mihai Dorin Vartolomei, Jens J. Rassweiler, O?an Virgil, Giuseppe Lucarelli, Francesco Porpiglia, Daniele Amparore, Matteo Manfredi, Giuseppe Carrieri, Ugo Falagario, Daniela Terracciano, Ottavio de Cobelli, Gian Maria Busetto, Francesco Del Giudice, Matteo Ferro
Diagnostics. 2021; 11(2): 354
[Pubmed]  [Google Scholar] [DOI]
3 Efficient Stain-Aware Nuclei Segmentation Deep Learning Framework for Multi-Center Histopathological Images
Loay Hassan, Mohamed Abdel-Nasser, Adel Saleh, Osama A. Omer, Domenec Puig
Electronics. 2021; 10(8): 954
[Pubmed]  [Google Scholar] [DOI]
4 Perspectives on Complexity, Chaos and Thermodynamics in Environmental Pathology
Maurizio Manera
International Journal of Environmental Research and Public Health. 2021; 18(11): 5766
[Pubmed]  [Google Scholar] [DOI]
5 Artificial intelligence in the diagnosis of prostate cancer
G.V. Popov, A.A. Chub, Yu.V. Lerner, L.V. Tsoy, A.V. Dubinina, V.A. Varshavsky
Arkhiv patologii. 2021; 83(3): 38
[Pubmed]  [Google Scholar] [DOI]
6 Improving Diagnosis through Digital Pathology: A Proof-of-concept Implementation using Smart Contracts and Decentralized file storage (IPFS) (Preprint)
Hemang Subramanian, Susmitha Subramanian
Journal of Medical Internet Research. 2021;
[Pubmed]  [Google Scholar] [DOI]
7 Quantitative neurotoxicology: Potential role of artificial intelligence/deep learning approach
Anshul Srivastava, Joseph P. Hanig
Journal of Applied Toxicology. 2021; 41(7): 996
[Pubmed]  [Google Scholar] [DOI]
8 Deep learning in histopathology: A review
Sugata Banerji, Sushmita Mitra
WIREs Data Mining and Knowledge Discovery. 2021;
[Pubmed]  [Google Scholar] [DOI]
9 Spatial mapping of cancer tissues by OMICS technologies
Rashid Ahmed, Robin Augustine, Enrique Valera, Anurup Ganguli, Nasrin Mesaeli, Irfan S. Ahmad, Rashid Bashir, Anwarul Hasan
Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 2021; : 188663
[Pubmed]  [Google Scholar] [DOI]
10 Single image super-resolution for whole slide image using convolutional neural networks and self-supervised color normalization
Bin Li, Adib Keikhosravi, Agnes G. Loeffler, Kevin W. Eliceiri
Medical Image Analysis. 2021; 68: 101938
[Pubmed]  [Google Scholar] [DOI]
11 Integrated digital pathology at scale: A solution for clinical diagnostics and cancer research at a large academic medical center
Peter J Schüffler, Luke Geneslaw, D Vijay K Yarlagadda, Matthew G Hanna, Jennifer Samboy, Evangelos Stamelos, Chad Vanderbilt, John Philip, Marc-Henri Jean, Lorraine Corsale, Allyne Manzo, Neeraj H G Paramasivam, John S Ziegler, Jianjiong Gao, Juan C Perin, Young Suk Kim, Umeshkumar K Bhanot, Michael H A Roehrl, Orly Ardon, Sarah Chiang, Dilip D Giri, Carlie S Sigel, Lee K Tan, Melissa Murray, Christina Virgo, Christine England, Yukako Yagi, S Joseph Sirintrapun, David Klimstra, Meera Hameed, Victor E Reuter, Thomas J Fuchs
Journal of the American Medical Informatics Association. 2021; 28(9): 1874
[Pubmed]  [Google Scholar] [DOI]
12 Visual Analytics for Hypothesis-Driven Exploration in Computational Pathology
A. Corvo, H. S. Garcia Caballero, M. A. Westenberg, M. A. van Driel, J. J. van Wijk
IEEE Transactions on Visualization and Computer Graphics. 2021; 27(10): 3851
[Pubmed]  [Google Scholar] [DOI]
13 Extracting low dimensional representations from large size whole slide images using deep convolutional autoencoders
Yusuf Çelik, Murat Karabatak
Expert Systems. 2021;
[Pubmed]  [Google Scholar] [DOI]
14 Clinical Application of Image Analysis in Pathology
Toby C. Cornish
Advances in Anatomic Pathology. 2020; 27(4): 227
[Pubmed]  [Google Scholar] [DOI]
15 Application of Artificial Intelligence Technology in Pathological Image Analysis of Breast Tissue
Mengmeng Jia, Xinjian Guo, Fang Tian
Journal of Physics: Conference Series. 2020; 1642(1): 012018
[Pubmed]  [Google Scholar] [DOI]
16 Automated Quantification of Immunohistochemical Staining of Large Animal Brain Tissue Using QuPath Software
Nicholas J. Morriss, Grace M. Conley, Sara M. Ospina, William P Meehan III, Jianhua Qiu, Rebekah Mannix
Neuroscience. 2020; 429: 235
[Pubmed]  [Google Scholar] [DOI]
17 A review for cervical histopathology image analysis using machine vision approaches
Chen Li, Hao Chen, Xiaoyan Li, Ning Xu, Zhijie Hu, Dan Xue, Shouliang Qi, He Ma, Le Zhang, Hongzan Sun
Artificial Intelligence Review. 2020; 53(7): 4821
[Pubmed]  [Google Scholar] [DOI]
18 Characterizing Immune Responses in Whole Slide Images of Cancer With Digital Pathology and Pathomics
Rajarsi Gupta, Han Le, John Van Arnam, David Belinsky, Mahmudul Hasan, Dimitris Samaras, Tahsin Kurc, Joel H. Saltz
Current Pathobiology Reports. 2020; 8(4): 133
[Pubmed]  [Google Scholar] [DOI]
19 Cellular resolution in clinical MALDI mass spectrometry imaging: the latest advancements and current challenges
Klára Šcupáková, Benjamin Balluff, Caitlin Tressler, Tobi Adelaja, Ron M.A. Heeren, Kristine Glunde, Gökhan Ertaylan
Clinical Chemistry and Laboratory Medicine (CCLM). 2020; 58(6): 914
[Pubmed]  [Google Scholar] [DOI]
20 Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New Trends
Naira Elazab, Hassan Soliman, Shaker El-Sappagh, S. M. Riazul Islam, Mohammed Elmogy
Mathematics. 2020; 8(11): 1863
[Pubmed]  [Google Scholar] [DOI]
21 [Paper] Automatic Quality Evaluation of Whole Slide Images for the Practical Use of Whole Slide Imaging Scanner
Hossain Md Shakhawat, Tomoya Nakamura, Fumikazu Kimura, Yukako Yagi, Masahiro Yamaguchi
ITE Transactions on Media Technology and Applications. 2020; 8(4): 252
[Pubmed]  [Google Scholar] [DOI]
22 Machine Learning Methods for Histopathological Image Analysis
Daisuke Komura,Shumpei Ishikawa
Computational and Structural Biotechnology Journal. 2018; 16: 34
[Pubmed]  [Google Scholar] [DOI]
23 Systems biology primer: the basic methods and approaches
Iman Tavassoly, Joseph Goldfarb, Ravi Iyengar
Essays in Biochemistry. 2018; 62(4): 487
[Pubmed]  [Google Scholar] [DOI]
24 It’s about time
Umesh Kapur
Journal of Histotechnology. 2017; : 1
[Pubmed]  [Google Scholar] [DOI]
25 Nuclear Architecture Analysis of Prostate Cancer via Convolutional Neural Networks
Jin Tae Kwak,Stephen M. Hewitt
IEEE Access. 2017; 5: 18526
[Pubmed]  [Google Scholar] [DOI]
26 The Pathologist 2.0: An Update on Digital Pathology in Veterinary Medicine
Christof A. Bertram,Robert Klopfleisch
Veterinary Pathology. 2017; 54(5): 756
[Pubmed]  [Google Scholar] [DOI]
27 Validation of whole-slide imaging in the primary diagnosis of liver biopsies in a University Hospital
Adela Saco,Alba Diaz,Monica Hernandez,Daniel Martinez,Carla Montironi,Paola Castillo,Natalia Rakislova,Marta del Pino,Antonio Martinez,Jaume Ordi
Digestive and Liver Disease. 2017;
[Pubmed]  [Google Scholar] [DOI]
28 Multiview boosting digital pathology analysis of prostate cancer
Jin Tae Kwak,Stephen M. Hewitt
Computer Methods and Programs in Biomedicine. 2017; 142: 91
[Pubmed]  [Google Scholar] [DOI]
29 A design study investigating augmented reality and photograph annotation in a digitalized grossing workstation
JoyceA Chow,MartinE Törnros,Marie Waltersson,Helen Richard,Madeleine Kusoffsky,ClaesF Lundström,Arianit Kurti
Journal of Pathology Informatics. 2017; 8(1): 31
[Pubmed]  [Google Scholar] [DOI]
30 PathEdEx – Uncovering high-explanatory visual diagnostics heuristics using digital pathology and multiscale gaze data
Dmitriy Shin,Mikhail Kovalenko,Ilker Ersoy,Yu Li,Donald Doll,Chi-Ren Shyu,Richard Hammer
Journal of Pathology Informatics. 2017; 8(1): 29
[Pubmed]  [Google Scholar] [DOI]
31 “Slide less pathology”: Fairy tale or reality?
M Indu,R Rathy,MP Binu
Journal of Oral and Maxillofacial Pathology. 2016; 20(2): 284
[Pubmed]  [Google Scholar] [DOI]
32 A quantitative approach to evaluate image quality of whole slide imaging scanners
Prarthana Shrestha,R Kneepkens,J Vrijnsen,D Vossen,E Abels,B Hulsken
Journal of Pathology Informatics. 2016; 7(1): 56
[Pubmed]  [Google Scholar] [DOI]
33 Rapid microscopy measurement of very large spectral images
Moshe Lindner,Zav Shotan,Yuval Garini
Optics Express. 2016; 24(9): 9511
[Pubmed]  [Google Scholar] [DOI]
34 Morphologists overestimate the nuclear-to-cytoplasmic ratio
Mingjuan L. Zhang,Alan X. Guo,Christopher J. VandenBussche
Cancer Cytopathology. 2016;
[Pubmed]  [Google Scholar] [DOI]
35 Quantitative analysis of nuclear shape in oral squamous cell carcinoma is useful for predicting the chemotherapeutic response
Maki Ogura,Yoichiro Yamamoto,Hitoshi Miyashita,Hiroyuki Kumamoto,Manabu Fukumoto
Medical Molecular Morphology. 2015;
[Pubmed]  [Google Scholar] [DOI]
36 FaceTime validation study: Low-cost streaming video for cytology adequacy assessment
Shweta Agarwal,Lichao Zhao,Roy Zhang,Lewis Hassell
Cancer Cytopathology. 2015; : n/a
[Pubmed]  [Google Scholar] [DOI]
37 Morphology in the Digital Age: Integrating High-Resolution Description of Structural Alterations With Phenotypes and Genotypes
Cynthia C. Nast,Kevin V. Lemley,Jeffrey B. Hodgin,Serena Bagnasco,Carmen Avila-Casado,Stephen M. Hewitt,Laura Barisoni
Seminars in Nephrology. 2015; 35(3): 266
[Pubmed]  [Google Scholar] [DOI]
38 Effect of color visualization and display hardware on the visual assessment of pseudocolor medical images
Silvina Zabala-Travers,Mina Choi,Wei-Chung Cheng,Aldo Badano
Medical Physics. 2015; 42(6): 2942
[Pubmed]  [Google Scholar] [DOI]
39 Warthin-like Mucoepidermoid Carcinoma
Kenichiro Ishibashi,Yohei Ito,Ayako Masaki,Kana Fujii,Shintaro Beppu,Takeo Sakakibara,Hisashi Takino,Hiroshi Takase,Kei Ijichi,Kazuo Shimozato,Hiroshi Inagaki
The American Journal of Surgical Pathology. 2015; 39(11): 1479
[Pubmed]  [Google Scholar] [DOI]
40 Comparative Analysis Reveals Potential Utility of Digital Microscopy in the Evaluation of Peripheral Blood Smears With Some Barriers to Implementation
Juan C. Gomez-Gelvez,Oleksandr N. Kryvenko,Devon S. Chabot-Richards,Kathryn Foucar,Kedar V. Inamdar,Kristin H. Karner
American Journal of Clinical Pathology. 2015; 144(1): 68
[Pubmed]  [Google Scholar] [DOI]
41 Applications and challenges of digital pathology and whole slide imaging
C Higgins
Biotechnic & Histochemistry. 2015; 90(5): 341
[Pubmed]  [Google Scholar] [DOI]
42 Objective and Subjective Assessment of Digital Pathology Image Quality
Prarthana Shrestha,Rik Kneepkens,Gijs van Elswijk,Jeroen Vrijnsen,Roxana Ion,Dirk Verhagen,Esther Abels,Dirk Vossen,and Bas Hulsken
AIMS Medical Science. 2015; 2(1): 65
[Pubmed]  [Google Scholar] [DOI]
43 Multiplexed coded illumination for Fourier Ptychography with an LED array microscope
Lei Tian,Xiao Li,Kannan Ramchandran,Laura Waller
Biomedical Optics Express. 2014; 5(7): 2376
[Pubmed]  [Google Scholar] [DOI]
44 Histological Quantitation of Brain Injury Using Whole Slide Imaging: A Pilot Validation Study in Mice
Zhenzhou Chen,Dmitriy Shin,Shanyan Chen,Kovalenko Mikhail,Orr Hadass,Brittany N. Tomlison,Dmitry Korkin,Chi-Ren Shyu,Jiankun Cui,Douglas C. Anthony,Zezong Gu,Jinglu Ai
PLoS ONE. 2014; 9(3): e92133
[Pubmed]  [Google Scholar] [DOI]
45 Current usage and future trends in gross digital photography in Canada
Christopher L Horn,Lawrence DeKoning,Paul Klonowski,Christopher Naugler
BMC Medical Education. 2014; 14(1): 11
[Pubmed]  [Google Scholar] [DOI]
46 Assessment Standards
Katherine Shea,Sharron Stewart,Rodney Rouse
Toxicologic Pathology. 2014; 42(6): 1004
[Pubmed]  [Google Scholar] [DOI]
47 Whole-Slide Imaging and Automated Image Analysis
J. D. Webster,R. W. Dunstan
Veterinary Pathology. 2014; 51(1): 211
[Pubmed]  [Google Scholar] [DOI]
48 Digital Imaging in Pathology: Whole-Slide Imaging and Beyond
Farzad Ghaznavi,Andrew Evans,Anant Madabhushi,Michael Feldman
Annual Review of Pathology: Mechanisms of Disease. 2013; 8(1): 331
[Pubmed]  [Google Scholar] [DOI]
49 A comparison of cervical histopathology variability using whole slide digitized images versus glass slides: experience with a statewide registry
Julia C. Gage,Nancy Joste,Brigette M. Ronnett,Mark Stoler,William C. Hunt,Mark Schiffman,Cosette M. Wheeler
Human Pathology. 2013; 44(11): 2542
[Pubmed]  [Google Scholar] [DOI]
50 Screening and dotting virtual slides: A new challenge for cytotechnologists
Walid E. Khalbuss, Jackie Cuda, Ioan C. Cucoranu
CytoJournal. 2013; 10: 22
[Pubmed]  [Google Scholar] [DOI]
51 Central Pathology Review for Phase III Clinical Trials: The Enabling Effect of Virtual Microscopy
Pawel Mroz,Anil V. Parwani,Piotr Kulesza
Archives of Pathology & Laboratory Medicine. 2013; 137(4): 492
[Pubmed]  [Google Scholar] [DOI]
52 Validating Whole Slide Imaging for Diagnostic Purposes in Pathology: Guideline from the College of American Pathologists Pathology and Laboratory Quality Center
Liron Pantanowitz,John H. Sinard,Walter H. Henricks,Lisa A. Fatheree,Alexis B. Carter,Lydia Contis,Bruce A. Beckwith,Andrew J. Evans,Avtar Lal,Anil V. Parwani
Archives of Pathology & Laboratory Medicine. 2013; 137(12): 1710
[Pubmed]  [Google Scholar] [DOI]
53 What May the Future Hold for Histotechnologists?
Michael Titford,Blythe Bowman
Laboratory Medicine. 2012; 43(suppl 2): e5
[Pubmed]  [Google Scholar] [DOI]
54 Nomenclatural benchmarking: the roles of digital typification and telemicroscopy
Quentin Wheeler,Bourgoin Thierry,Jonathan Coddington,Timothy Gostony,Andrew Hamilton,Roy Larimer,Andrew Polaszek,Michael Schauff,Alma Solis
ZooKeys. 2012; 209(0): 193
[Pubmed]  [Google Scholar] [DOI]
55 Digital slide images for primary diagnostics in breast pathology: a feasibility study
S. Al-Janabi,A. Huisman,S.M. Willems,P.J. Van Diest
Human Pathology. 2012; 43(12): 2318
[Pubmed]  [Google Scholar] [DOI]
56 Digital Imaging in Pathology
Seung Park,Liron Pantanowitz,Anil Vasdev Parwani
Clinics in Laboratory Medicine. 2012; 32(4): 557
[Pubmed]  [Google Scholar] [DOI]
57 Construction and implementation of a comprehensive hematopathology virtual teaching set
Christine G. Roth,Bryan J. Dangott,Tom Harper,Jon Duboy,Fiona E. Craig,Anil V. Parwani
Journal of Hematopathology. 2012; 5(4): 297
[Pubmed]  [Google Scholar] [DOI]
58 Automated measurement of MIB-1 positive area as an alternative to counting in follicular lymphoma
Jeroen A. W. M. van der Laak,Nienke van Engelen,Maarten Melissen,Konnie M. Hebeda
Cytometry Part A. 2012; 81A(6): 527
[Pubmed]  [Google Scholar] [DOI]
59 Performance of a simple chromatin-rich segmentation algorithm in quantifying basal cell carcinoma from histology images
Kyle Lesack,Christopher Naugler
BMC Research Notes. 2012; 5(1): 35
[Pubmed]  [Google Scholar] [DOI]
60 Comparing digital and optical microscopy diagnoses of breast and prostate core biopsies
Ana Richelia Jara-Lazaro,Puay Hoon Tan
Pathology. 2012; 44(1): 46
[Pubmed]  [Google Scholar] [DOI]
61 Digital imaging for cytopathology: are we there yet?
L. Pantanowitz,A. V. Parwani,W. E. Khalbuss
Cytopathology. 2011; 22(2): 73
[Pubmed]  [Google Scholar] [DOI]
62 Digital Imaging in Cytopathology
Walid E. Khalbuss,Liron Pantanowitz,Anil V. Parwani
Pathology Research International. 2011; 2011: 1
[Pubmed]  [Google Scholar] [DOI]

 

Read this article