Vote for your favorite mineral in #MinCup25! - Carpathite vs. Leucite
Brace for oddness in a match between one of the very few hydrocarbon minerals carpathite and the temperature-flipping mineral leucite.
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

Hu, Zilong, Tang, Jinshan, Wang, Ziming, Zhang, Kai, Zhang, Ling, Sun, Qingling (2018) Deep learning for image-based cancer detection and diagnosis − A survey. Pattern Recognition, 83. 134-149 doi:10.1016/j.patcog.2018.05.014

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleDeep learning for image-based cancer detection and diagnosis − A survey
JournalPattern Recognition
AuthorsHu, ZilongAuthor
Tang, JinshanAuthor
Wang, ZimingAuthor
Zhang, KaiAuthor
Zhang, LingAuthor
Sun, QinglingAuthor
Year2018 (November)Volume83
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2018.05.014Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9367491Long-form Identifiermindat:1:5:9367491:7
GUID0
Full ReferenceHu, Zilong, Tang, Jinshan, Wang, Ziming, Zhang, Kai, Zhang, Ling, Sun, Qingling (2018) Deep learning for image-based cancer detection and diagnosis − A survey. Pattern Recognition, 83. 134-149 doi:10.1016/j.patcog.2018.05.014
Plain TextHu, Zilong, Tang, Jinshan, Wang, Ziming, Zhang, Kai, Zhang, Ling, Sun, Qingling (2018) Deep learning for image-based cancer detection and diagnosis − A survey. Pattern Recognition, 83. 134-149 doi:10.1016/j.patcog.2018.05.014
In(2018) Pattern Recognition Vol. 83. Elsevier BV

See Also

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

Tang, Jinshan, Rangayyan, Raj, Yao, Jianhua, Yang, Yongyi (2009) Digital image processing and pattern recognition techniques for the detection of cancer. Pattern Recognition, 42 (6). 1015-1016 doi:10.1016/j.patcog.2008.11.012
Xiang, Hanyu, Zou, Qin, Nawaz, Muhammad Ali, Huang, Xianfeng, Zhang, Fan, Yu, Hongkai (2023) Deep learning for image inpainting: A survey. Pattern Recognition, 134. 109046 doi:10.1016/j.patcog.2022.109046
Wang, Xuquan, Zhang, Feng, Zhang, Kai, Wang, Weijie, Dun, Xiong, Sun, Jiande (2024) Learning spatial-spectral dual adaptive graph embedding for multispectral and hyperspectral image fusion. Pattern Recognition, 151. 110365 doi:10.1016/j.patcog.2024.110365
Yu, Cuican, Zhang, Zihui, Li, Huibin, Sun, Jian, Xu, Zongben (2023) Meta-learning-based adversarial training for deep 3D face recognition on point clouds. Pattern Recognition, 134. 109065 doi:10.1016/j.patcog.2022.109065
Zhou, Yucan, Hu, Qinghua, Wang, Yu (2018) Deep super-class learning for long-tail distributed image classification. Pattern Recognition, 80. 118-128 doi:10.1016/j.patcog.2018.03.003
Xing, Junliang, Li, Kai, Hu, Weiming, Yuan, Chunfeng, Ling, Haibin (2017) Diagnosing deep learning models for high accuracy age estimation from a single image. Pattern Recognition, 66. 106-116 doi:10.1016/j.patcog.2017.01.005
Wang, Zhixing; Wang, Kai; Tang, Chuanming; Li, Xiang; Zhang, Jianlin; Gao, Lianli (2025) DSTrack: Diffusion-based sequence learning for visual object tracking. Pattern Recognition, 168. doi:10.1016/j.patcog.2025.111694
Zhang, Haoran, Hu, Zhenzhen, Qin, Wei, Xu, Mingliang, Wang, Meng (2021) Adversarial co-distillation learning for image recognition. Pattern Recognition, 111. 107659pp. doi:10.1016/j.patcog.2020.107659
Yang, Rui, Wang, Shuang, Gu, Yu, Wang, Jihui, Sun, Yingzhi, Zhang, Huan, Liao, Yu, Jiao, Licheng (2024) Continual learning for cross-modal image-text retrieval based on domain-selective attention. Pattern Recognition, 149. 110273 doi:10.1016/j.patcog.2024.110273
Zhang, Xiwu, Wang, Lei, Su, Yan (2021) Visual place recognition: A survey from deep learning perspective. Pattern Recognition, 113. 107760pp. doi:10.1016/j.patcog.2020.107760
Zhao, Lijun; Zhang, Yufeng; Wang, Xinlu; Zhang, Jinjing; Bai, Huihui; Wang, Anhong (2026) A survey on image compressive sensing: From classical theory to the latest explicable deep learning. Pattern Recognition, 170. doi:10.1016/j.patcog.2025.112022
 
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 © 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: September 6, 2025 09:37:04
Go to top of page