Works matching IS 01926233 AND DT 2021 AND VI 49 AND IP 4

Results: 24

HistoNet: A Deep Learning-Based Model of Normal Histology.

Published in:

Toxicologic Pathology, 2021, v. 49, n. 4, p. 784, doi. 10.1177/0192623321993425

By:

Hoefling, Holger;
Sing, Tobias;
Hossain, Imtiaz;
Boisclair, Julie;
Doelemeyer, Arno;
Flandre, Thierry;
Piaia, Alessandro;
Romanet, Vincent;
Santarossa, Gianluca;
Saravanan, Chandrassegar;
Sutter, Esther;
Turner, Oliver;
Wuersch, Kuno;
Moulin, Pierre

Publication type:

Article

Proof of Concept: The Use of Whole-Slide Images (WSI) for Peer Review of Tissues on Routine Regulatory Toxicology Studies.

Published in:

Toxicologic Pathology, 2021, v. 49, n. 4, p. 750, doi. 10.1177/0192623320983252

By:

Bradley, Alys E.;
Cary, Maurice G.;
Isobe, Kaori;
Naylor, Stuart;
Drew, Stephen

Publication type:

Article

Artificial Intelligence in Toxicologic Pathology: Quantitative Evaluation of Compound-Induced Hepatocellular Hypertrophy in Rats.

Published in:

Toxicologic Pathology, 2021, v. 49, n. 4, p. 928, doi. 10.1177/0192623320983244

By:

Pischon, Hannah;
Mason, David;
Lawrenz, Bettina;
Blanck, Olivier;
Frisk, Anna-Lena;
Schorsch, Frederic;
Bertani, Valeria

Publication type:

Article

Screening For Bone Marrow Cellularity Changes in Cynomolgus Macaques in Toxicology Safety Studies Using Artificial Intelligence Models.

Published in:

Toxicologic Pathology, 2021, v. 49, n. 4, p. 905, doi. 10.1177/0192623320981560

By:

Smith, Mark A.;
Westerling-Bui, Thomas;
Wilcox, Angela;
Schwartz, Julie

Publication type:

Article

Deep Learning in Toxicologic Pathology: A New Approach to Evaluate Rodent Retinal Atrophy.

Published in:

Toxicologic Pathology, 2021, v. 49, n. 4, p. 851, doi. 10.1177/0192623320980674

By:

De Vera Mudry, Maria Cristina;
Martin, Jim;
Schumacher, Vanessa;
Venugopal, Raghavan

Publication type:

Article

Special Issue on Digital Pathology, Tissue Image Analysis, Artificial Intelligence, and Machine Learning: Approximation of the Effect of Novel Technologies on Toxicologic Pathology.

Published in:

Toxicologic Pathology, 2021, v. 49, n. 4, p. 705, doi. 10.1177/0192623321993756

By:

Aeffner, Famke;
Sing, Tobias;
Turner, Oliver C.

Publication type:

Article

Quantitative Assessment of Neuroinflammation, Myelinogenesis, Demyelination, and Nerve Fiber Regeneration in Immunostained Sciatic Nerves From Twitcher Mice With a Tissue Image Analysis Platform.

Published in:

Toxicologic Pathology, 2021, v. 49, n. 4, p. 950, doi. 10.1177/0192623321991469

By:

Wilson, Irene;
Vitelli, Cathy;
Yu, Guoying Karen;
Pacheco, Glenn;
Vincelette, Jon;
Bunting, Stuart;
Sisó, Sílvia

Publication type:

Article

Mini Review: The Last Mile—Opportunities and Challenges for Machine Learning in Digital Toxicologic Pathology.

Published in:

Toxicologic Pathology, 2021, v. 49, n. 4, p. 714, doi. 10.1177/0192623321990375

By:

Turner, Oliver C.;
Knight, Brian;
Zuraw, Aleksandra;
Litjens, Geert;
Rudmann, Daniel G.

Publication type:

Article

Proof of Concept for a Deep Learning Algorithm for Identification and Quantification of Key Microscopic Features in the Murine Model of DSS-Induced Colitis.

Published in:

Toxicologic Pathology, 2021, v. 49, n. 4, p. 897, doi. 10.1177/0192623320987804

By:

Bédard, Agathe;
Westerling-Bui, Thomas;
Zuraw, Aleksandra

Publication type:

Article

IMI—Bigpicture: A Central Repository for Digital Pathology.

Published in:

2021

By:

Moulin, Pierre;
Grünberg, Katrien;
Barale-Thomas, Erio;
der Laak, Jeroen van

Publication type:

Editorial

Biomarker-Based Classification and Localization of Renal Lesions Using Learned Representations of Histology—A Machine Learning Approach to Histopathology.

Published in:

Toxicologic Pathology, 2021, v. 49, n. 4, p. 798, doi. 10.1177/0192623320987202

By:

Freyre, Christophe A. C.;
Spiegel, Stephan;
Gubser Keller, Caroline;
Vandemeulebroecke, Marc;
Hoefling, Holger;
Dubost, Valerie;
Cörek, Emre;
Moulin, Pierre;
Hossain, Imtiaz

Publication type:

Article

Evaluation of the Use of Single- and Multi-Magnification Convolutional Neural Networks for the Determination and Quantitation of Lesions in Nonclinical Pathology Studies.

Published in:

Toxicologic Pathology, 2021, v. 49, n. 4, p. 815, doi. 10.1177/0192623320986423

By:

Kuklyte, Jogile;
Fitzgerald, Jenny;
Nelissen, Sophie;
Wei, Haolin;
Whelan, Aoife;
Power, Adam;
Ahmad, Ajaz;
Miarka, Martyna;
Gregson, Mark;
Maxwell, Michael;
Raji, Ruka;
Lenihan, Joseph;
Finn-Moloney, Eve;
Rafferty, Mairin;
Cary, Maurice;
Barale-Thomas, Erio;
O'Shea, Donal

Publication type:

Article

Developing a Qualification and Verification Strategy for Digital Tissue Image Analysis in Toxicological Pathology.

Published in:

Toxicologic Pathology, 2021, v. 49, n. 4, p. 773, doi. 10.1177/0192623320980310

By:

Zuraw, Aleksandra;
Staup, Michael;
Klopfleisch, Robert;
Aeffner, Famke;
Brown, Danielle;
Westerling-Bui, Thomas;
Rudmann, Daniel

Publication type:

Article

The Application, Challenges, and Advancement Toward Regulatory Acceptance of Digital Toxicologic Pathology: Results of the 7th ESTP International Expert Workshop (September 20-21, 2019).

Published in:

Toxicologic Pathology, 2021, v. 49, n. 4, p. 720, doi. 10.1177/0192623320975841

By:

Schumacher, Vanessa L.;
Aeffner, Famke;
Barale-Thomas, Erio;
Botteron, Catherine;
Carter, Jonathan;
Elies, Laëtitia;
Engelhardt, Jeffery A.;
Fant, Pierluigi;
Forest, Thomas;
Hall, Peter;
Hildebrand, Deon;
Klopfleisch, Robert;
Lucotte, Thomas;
Marxfeld, Heike;
Mckinney, LuAnn;
Moulin, Pierre;
Neyens, Elizabeth;
Palazzi, Xavier;
Piton, Alain;
Riccardi, Elena

Publication type:

Article

Digital 3D Topographic Microscopy: Bridging the Gaps Between Macroscopy, Microscopy and Scanning Electron Microscopy.

Published in:

Toxicologic Pathology, 2021, v. 49, n. 4, p. 963, doi. 10.1177/0192623320979908

By:

Rousselle, Serge D.

Publication type:

Article

Using Deep Learning Artificial Intelligence Algorithms to Verify N-Nitroso-N-Methylurea and Urethane Positive Control Proliferative Changes in Tg-RasH2 Mouse Carcinogenicity Studies.

Published in:

Toxicologic Pathology, 2021, v. 49, n. 4, p. 938, doi. 10.1177/0192623320973986

By:

Rudmann, Daniel;
Albretsen, Jay;
Doolan, Colin;
Gregson, Mark;
Dray, Beth;
Sargeant, Aaron;
O'Shea D, Donal;
Kuklyte, Jogile;
Power, Adam;
Fitzgerald, Jenny

Publication type:

Article

Deep Learning–Based Detection of Endothelial Tip Cells in the Oxygen-Induced Retinopathy Model.

Published in:

Toxicologic Pathology, 2021, v. 49, n. 4, p. 862, doi. 10.1177/0192623320972964

By:

Zingman, Igor;
Zippel, Nina;
Birk, Gerald;
Eder, Sebastian;
Thomas, Leo;
Schönberger, Tanja;
Stierstorfer, Birgit;
Heinemann, Fabian

Publication type:

Article

Using Artificial Intelligence to Detect, Classify, and Objectively Score Severity of Rodent Cardiomyopathy.

Published in:

Toxicologic Pathology, 2021, v. 49, n. 4, p. 888, doi. 10.1177/0192623320972614

By:

Tokarz, Debra A.;
Steinbach, Thomas J.;
Lokhande, Avinash;
Srivastava, Gargi;
Ugalmugle, Rajesh;
Co, Caroll A.;
Shockley, Keith R.;
Singletary, Emily;
Cesta, Mark F.;
Thomas, Heath C.;
Chen, Vivian S.;
Hobbie, Kristen;
Crabbs, Torrie A.

Publication type:

Article

Artificial Intelligence-Based Quantification of Epithelial Proliferation in Mammary Glands of Rats and Oviducts of Göttingen Minipigs.

Published in:

Toxicologic Pathology, 2021, v. 49, n. 4, p. 912, doi. 10.1177/0192623320950633

By:

Hvid, Henning;
Skydsgaard, Mikala;
Jensen, Nikolai K.;
Viuff, Birgitte M.;
Jensen, Henrik E.;
Oleksiewicz, Martin B.;
Kvist, Peter H.

Publication type:

Article

Deep Learning-Based Spermatogenic Staging Assessment for Hematoxylin and Eosin-Stained Sections of Rat Testes.

Published in:

Toxicologic Pathology, 2021, v. 49, n. 4, p. 872, doi. 10.1177/0192623320969678

By:

Creasy, Dianne M.;
Panchal, Satish T.;
Garg, Rohit;
Samanta, Pranab

Publication type:

Article

A Workflow for the Performance of the Differential Ovarian Follicle Count Using Deep Neuronal Networks.

Published in:

Toxicologic Pathology, 2021, v. 49, n. 4, p. 843, doi. 10.1177/0192623320969130

By:

Carboni, Eleonora;
Marxfeld, Heike;
Tuoken, Hanati;
Klukas, Christian;
Eggers, Till;
Gröters, Sibylle;
van Ravenzwaay, Bennard

Publication type:

Article

DICOM Format and Protocol Standardization—A Core Requirement for Digital Pathology Success.

Published in:

Toxicologic Pathology, 2021, v. 49, n. 4, p. 738, doi. 10.1177/0192623320965893

By:

Clunie, David A.

Publication type:

Article

Letter to the Editor Regarding "Pathology Informatics Education Committee of the American College of Veterinary Pathologists (ACVP)".

Published in:

2021

By:

Schutten, Melissa M.;
Knoblaugh, Sue;
Salas, Elisa;
Edmondson, Elijah;
Bienzle, Dorothee;
Cossic, Brieuc;
Everitt, Jeffrey;
Saravanan, Chandrassegar;
Schmidt, Sarah;
Schumacher, Vanessa;
Zimmerman, Kurt

Publication type:

Editorial

Impact of Preanalytical Factors During Histology Processing on Section Suitability for Digital Image Analysis.

Published in:

Toxicologic Pathology, 2021, v. 49, n. 4, p. 755, doi. 10.1177/0192623320970534

By:

Chlipala, Elizabeth A.;
Butters, Mark;
Brous, Miles;
Fortin, Jessica S.;
Archuletta, Roni;
Copeland, Karen;
Bolon, Brad

Publication type:

Article