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

Daisuke Komura

Showing results (1-10 of 81) with videos related to

Pageof 9
Sort By:
Patterns (New York, N.Y.)|July 31, 2023
Meet the authors: Daisuke Komura and Shumpei IshikawaDaisuke Komura, Shumpei Ishikawa
Virchows Archiv : an International Journal of Pathology|June 22, 2019
Machine learning approaches for pathologic diagnosisDaisuke Komura, Shumpei Ishikawa
Computational and Structural Biotechnology Journal|October 3, 2018
Machine Learning Methods for Histopathological Image AnalysisDaisuke Komura, Shumpei Ishikawa
Computational and Structural Biotechnology Journal|February 3, 2025
Machine learning methods for histopathological image analysis: Updates in 2024Daisuke Komura, Mieko Ochi, Shumpei Ishikawa
JMA Journal|February 10, 2025
Pathology Foundation ModelsMieko Ochi, Daisuke Komura, Shumpei Ishikawa
Pathology International|November 7, 2022
Immune repertoire profiling for disease pathobiologyHiroto Katoh, Daisuke Komura, Genta Furuya, et al.
Frontiers in Artificial Intelligence|October 27, 2025
Medicine for artificial intelligence: applying a medical framework to AI anomaliesTakahiro Kato, Daisuke Komura, Binay Panda, et al.
Bioinformatics (Oxford, England)|September 17, 2021
Viola: a structural variant signature extractor with user-defined classificationsItsuki Sugita, Shohei Matsuyama, Hiroki Dobashi, et al.
Cancer Science|December 23, 2025
Label Noise in Pathological Segmentation Is Overlooked, Leading to Potential Overestimation of Artificial IntelligenceKenji Harada, Yuichiro Nomura, Daisuke Komura, et al.
STAR Protocols|March 24, 2023
Deep texture representation analysis for histopathological imagesRanny Rahaningrum Herdiantoputri, Daisuke Komura, Kei Fujisaka, et al.
Pageof 9

Showing results (1-10 of 81) with videos related to

Sort By:
Pageof 9
Patterns (New York, N.Y.)|July 31, 2023
Meet the authors: Daisuke Komura and Shumpei IshikawaDaisuke Komura, Shumpei Ishikawa
Virchows Archiv : an International Journal of Pathology|June 22, 2019
Machine learning approaches for pathologic diagnosisDaisuke Komura, Shumpei Ishikawa
Computational and Structural Biotechnology Journal|October 3, 2018
Machine Learning Methods for Histopathological Image AnalysisDaisuke Komura, Shumpei Ishikawa
Computational and Structural Biotechnology Journal|February 3, 2025
Machine learning methods for histopathological image analysis: Updates in 2024Daisuke Komura, Mieko Ochi, Shumpei Ishikawa
JMA Journal|February 10, 2025
Pathology Foundation ModelsMieko Ochi, Daisuke Komura, Shumpei Ishikawa
Pathology International|November 7, 2022
Immune repertoire profiling for disease pathobiologyHiroto Katoh, Daisuke Komura, Genta Furuya, et al.
Frontiers in Artificial Intelligence|October 27, 2025
Medicine for artificial intelligence: applying a medical framework to AI anomaliesTakahiro Kato, Daisuke Komura, Binay Panda, et al.
Bioinformatics (Oxford, England)|September 17, 2021
Viola: a structural variant signature extractor with user-defined classificationsItsuki Sugita, Shohei Matsuyama, Hiroki Dobashi, et al.
Cancer Science|December 23, 2025
Label Noise in Pathological Segmentation Is Overlooked, Leading to Potential Overestimation of Artificial IntelligenceKenji Harada, Yuichiro Nomura, Daisuke Komura, et al.
STAR Protocols|March 24, 2023
Deep texture representation analysis for histopathological imagesRanny Rahaningrum Herdiantoputri, Daisuke Komura, Kei Fujisaka, et al.
Pageof 9