Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Peter J Schüffler

Showing results (1-10 of 35) with videos related to

Pageof 4
Sort By:
Journal of Pathology Informatics|November 11, 2021
FlexTileSource: An OpenSeadragon Extension for Efficient Whole-Slide Image VisualizationPeter J Schüffler, Gamze Gokturk Ozcan, Hikmat Al-Ahmadie, et al.
Journal of Pathology Informatics|May 20, 2021
Overcoming an Annotation Hurdle: Digitizing Pen Annotations from Whole Slide ImagesPeter J Schüffler, Dig Vijay Kumar Yarlagadda, Chad Vanderbilt, et al.
Computers in Biology and Medicine|March 30, 2024
A systematic review of machine learning-based tumor-infiltrating lymphocytes analysis in colorectal cancer: Overview of techniques, performance metrics, and clinical outcomesAzar Kazemi, Ashkan Rasouli-Saravani, Masoumeh Gharib, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|December 16, 2017
Towards machine learned quality control: A benchmark for sharpness quantification in digital pathologyGabriele Campanella, Arjun R Rajanna, Lorraine Corsale, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
Semi-supervised and active learning for automatic segmentation of Crohn's diseaseDwarikanath Mahapatra, Peter J Schüffler, Jeroen A W Tielbeek, et al.
BMC Cancer|July 3, 2009
Prognostic relevance of Wnt-inhibitory factor-1 (WIF1) and Dickkopf-3 (DKK3) promoter methylation in human breast cancerJürgen Veeck, Peter J Wild, Thomas Fuchs, et al.
The American Journal of Pathology|March 20, 2026
Machine Learning Predicts Adequacy of Rapid Onsite Evaluation in Fine Needle Aspirations in Lung Cancer CytologyChristian Brechenmacher, Brie Kezlarian, Gregor Weirich, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|July 7, 2015
Automatic single cell segmentation on highly multiplexed tissue imagesPeter J Schüffler, Denis Schapiro, Charlotte Giesen, et al.
Computational Intelligence Methods for Bioinformatics and Biostatistics : ... International Meeting, CIBB ... : Revised Selected Papers. CIBB (Meeting)|March 31, 2018
DeepScope: Nonintrusive Whole Slide Saliency Annotation and Prediction from Pathologists at the MicroscopeAndrew J Schaumberg, S Joseph Sirintrapun, Hikmat A Al-Ahmadie, et al.
Journal of Pathology Informatics|June 15, 2013
TMARKER: A free software toolkit for histopathological cell counting and staining estimationPeter J Schüffler, Thomas J Fuchs, Cheng Soon Ong, et al.
Pageof 4

Showing results (1-10 of 35) with videos related to

Sort By:
Pageof 4
Journal of Pathology Informatics|November 11, 2021
FlexTileSource: An OpenSeadragon Extension for Efficient Whole-Slide Image VisualizationPeter J Schüffler, Gamze Gokturk Ozcan, Hikmat Al-Ahmadie, et al.
Journal of Pathology Informatics|May 20, 2021
Overcoming an Annotation Hurdle: Digitizing Pen Annotations from Whole Slide ImagesPeter J Schüffler, Dig Vijay Kumar Yarlagadda, Chad Vanderbilt, et al.
Computers in Biology and Medicine|March 30, 2024
A systematic review of machine learning-based tumor-infiltrating lymphocytes analysis in colorectal cancer: Overview of techniques, performance metrics, and clinical outcomesAzar Kazemi, Ashkan Rasouli-Saravani, Masoumeh Gharib, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|December 16, 2017
Towards machine learned quality control: A benchmark for sharpness quantification in digital pathologyGabriele Campanella, Arjun R Rajanna, Lorraine Corsale, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
Semi-supervised and active learning for automatic segmentation of Crohn's diseaseDwarikanath Mahapatra, Peter J Schüffler, Jeroen A W Tielbeek, et al.
BMC Cancer|July 3, 2009
Prognostic relevance of Wnt-inhibitory factor-1 (WIF1) and Dickkopf-3 (DKK3) promoter methylation in human breast cancerJürgen Veeck, Peter J Wild, Thomas Fuchs, et al.
The American Journal of Pathology|March 20, 2026
Machine Learning Predicts Adequacy of Rapid Onsite Evaluation in Fine Needle Aspirations in Lung Cancer CytologyChristian Brechenmacher, Brie Kezlarian, Gregor Weirich, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|July 7, 2015
Automatic single cell segmentation on highly multiplexed tissue imagesPeter J Schüffler, Denis Schapiro, Charlotte Giesen, et al.
Computational Intelligence Methods for Bioinformatics and Biostatistics : ... International Meeting, CIBB ... : Revised Selected Papers. CIBB (Meeting)|March 31, 2018
DeepScope: Nonintrusive Whole Slide Saliency Annotation and Prediction from Pathologists at the MicroscopeAndrew J Schaumberg, S Joseph Sirintrapun, Hikmat A Al-Ahmadie, et al.
Journal of Pathology Informatics|June 15, 2013
TMARKER: A free software toolkit for histopathological cell counting and staining estimationPeter J Schüffler, Thomas J Fuchs, Cheng Soon Ong, et al.
Pageof 4