Watch the Dallas Symposium LIVE, and fundraiser auction
Ticket proceeds support mindat.org! - click here...
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Yoshimura, Takaaki, Manabe, Keisuke, Sugimori, Hiroyuki (2023) Non-Invasive Estimation of Gleason Score by Semantic Segmentation and Regression Tasks Using a Three-Dimensional Convolutional Neural Network. Applied Sciences, 13 (14) 8028 doi:10.3390/app13148028

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleNon-Invasive Estimation of Gleason Score by Semantic Segmentation and Regression Tasks Using a Three-Dimensional Convolutional Neural Network
JournalApplied Sciences
AuthorsYoshimura, TakaakiAuthor
Manabe, KeisukeAuthor
Sugimori, HiroyukiAuthor
Year2023 (July 9)Volume13
Issue14
PublisherMDPI AG
DOIdoi:10.3390/app13148028Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID16528088Long-form Identifiermindat:1:5:16528088:4
GUID0
Full ReferenceYoshimura, Takaaki, Manabe, Keisuke, Sugimori, Hiroyuki (2023) Non-Invasive Estimation of Gleason Score by Semantic Segmentation and Regression Tasks Using a Three-Dimensional Convolutional Neural Network. Applied Sciences, 13 (14) 8028 doi:10.3390/app13148028
Plain TextYoshimura, Takaaki, Manabe, Keisuke, Sugimori, Hiroyuki (2023) Non-Invasive Estimation of Gleason Score by Semantic Segmentation and Regression Tasks Using a Three-Dimensional Convolutional Neural Network. Applied Sciences, 13 (14) 8028 doi:10.3390/app13148028
In(2023, July) Applied Sciences Vol. 13 (14) MDPI AG

See Also

These are possibly similar items as determined by title/reference text matching only.

Asami, Yusuke, Yoshimura, Takaaki, Manabe, Keisuke, Yamada, Tomonari, Sugimori, Hiroyuki (2021) Development of Detection and Volumetric Methods for the Triceps of the Lower Leg Using Magnetic Resonance Images with Deep Learning. Applied Sciences, 11 (24) 12006pp. doi:10.3390/app112412006
Usui, Kousuke, Yoshimura, Takaaki, Tang, Minghui, Sugimori, Hiroyuki (2023) Age Estimation from Brain Magnetic Resonance Images Using Deep Learning Techniques in Extensive Age Range. Applied Sciences, 13 (3) 1753 doi:10.3390/app13031753
Yamada, Tomonari, Yoshimura, Takaaki, Ichikawa, Shota, Sugimori, Hiroyuki (2025) Improving Cerebrovascular Imaging with Deep Learning: Semantic Segmentation for Time-of-Flight Magnetic Resonance Angiography Maximum Intensity Projection Image Enhancement. Applied Sciences, 15 (6). doi:10.3390/app15063034
Usui, Kousuke, Yoshimura, Takaaki, Ichikawa, Shota, Sugimori, Hiroyuki (2023) Development of Chest X-ray Image Evaluation Software Using the Deep Learning Techniques. Applied Sciences, 13 (11) 6695 doi:10.3390/app13116695
Ouyang, Song, Li, Yansheng (2020) Combining Deep Semantic Segmentation Network and Graph Convolutional Neural Network for Semantic Segmentation of Remote Sensing Imagery. Remote Sensing, 13 (1). doi:10.3390/rs13010119
Sakamoto, Marin, Yoshimura, Takaaki, Sugimori, Hiroyuki (2025) Automated Coronary Artery Identification in CT Angiography: A Deep Learning Approach Using Bounding Boxes. Applied Sciences, 15 (6). doi:10.3390/app15063113
Guo, Yuheng, Sato, Hiroyuki (2023) Smartwatch In-Air Signature Time Sequence Three-Dimensional Static Restoration Classification Based on Multiple Convolutional Neural Networks. Applied Sciences, 13 (6) 3958 doi:10.3390/app13063958
Feng, Chenyang, Hu, Shu, Zhang, Yi (2024) A Multi-Path Semantic Segmentation Network Based on Convolutional Attention Guidance. Applied Sciences, 14 (5) 2024 doi:10.3390/app14052024
Zhang, Feifei, Wang, Yong, Du, Yawen, Zhu, Yijia (2023) A Spatio-Temporal Encoding Neural Network for Semantic Segmentation of Satellite Image Time Series. Applied Sciences, 13 (23) 12658 doi:10.3390/app132312658
Moriya, Ryuma, Yoshimura, Takaaki, Tang, Minghui, Ichikawa, Shota, Sugimori, Hiroyuki (2024) Development of a Method for Estimating the Angle of Lumbar Spine X-ray Images Using Deep Learning with Pseudo X-ray Images Generated from Computed Tomography. Applied Sciences, 14 (9) 3794 doi:10.3390/app14093794
Dai, Dong, Ji, Zhaohui, Wang, Haiyan (2024) Non-Invasive Continuous Blood Pressure Estimation from Single-Channel PPG Based on a Temporal Convolutional Network Integrated with an Attention Mechanism. Applied Sciences, 14 (14) 6061 doi:10.3390/app14146061
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 16, 2025 17:32:50
Go to top of page