Showing 301 - 320 results of 3,305 for search '"labelling"', query time: 0.09s Refine Results
  1. 301

    AutoLDP: An accurate and efficient artificial intelligence-based tool for automatic labeling of digital pathology by Yingnan Zhao, Huifen Ye, Jing Yang, Su Yao, Maohua Lv, Zhihong Chen, Yunrui Ye, Qingru Hu, Cheng Lu, Zaiyi Liu, Ke Zhao, Zhihua Chen

    Published 2025-03-01
    “…Methods: We developed Auto LDP, a method for automatic labeling of digital pathology, which identifies textual information used for labeling slides. …”
    Get full text
    Article
  2. 302

    Ethnocentrism, Trust, and the Willingness to Pay of Chinese Consumers for Organic Labels from Different Countries and Certifiers by Shijiu Yin, Fei Han, Yiqin Wang, Wuyang Hu, Shanshan Lv

    Published 2019-01-01
    “…Although numerous studies have examined consumer preference for organic foods, few have focused on consumer willingness to pay (WTP) for organic labels from dissimilar countries or certifiers. We conducted a choice experiment to examine how Chinese consumer ethnocentrism and trust on organic labels and certifiers may affect their WTP for organic labels from different countries as well as for different certifiers. …”
    Get full text
    Article
  3. 303
  4. 304

    Biological Characteristics of Fluorescent Superparamagnetic Iron Oxide Labeled Human Dental Pulp Stem Cells by Liang Ma, Ming-wei Li, Yu Bai, Hui-hui Guo, Sheng-chao Wang, Qing Yu

    Published 2017-01-01
    “…These results suggest that 12.5–50 μg/mL MIRB is a safe range for labeling hDPSCs. MIRB labeled hDPSCs cell can be visualized by MRI in vitro and in vivo. …”
    Get full text
    Article
  5. 305

    Technetium-99m-labeled peptides and their applications in radio imaging: advancements in Latin American research by Vaezeh Fathi Vavsari, Saeed Balalaie

    Published 2024-11-01
    “…This study highlighted the potential of technetium-99m-labeled peptides in advancing diagnostic capabilities in directed research in Latin America.…”
    Get full text
    Article
  6. 306
  7. 307
  8. 308
  9. 309

    Direct imaging with multidimensional labelling and high‐content analysis allows quantitative categorization and characterizations of individual small extracellular vesicles and nanoparticles (sEVPs) by Simou Sun, Sarah J. Cox‐Vázquez, Nam‐Joon Cho, Guillermo C. Bazan, Jay T. Groves

    Published 2024-12-01
    “…We then develop an enhanced algorithm for colocalization analysis of the multiple labels on individual sEVPs and perform deep profiling of particle content. …”
    Get full text
    Article
  10. 310
  11. 311
  12. 312
  13. 313

    PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell Detection by Narongrid Seesawad, Piyalitt Ittichaiwong, Thapanun Sudhawiyangkul, Phattarapong Sawangjai, Peti Thuwajit, Paisarn Boonsakan, Supasan Sripodok, Kanyakorn Veerakanjana, Komgrid Charngkaew, Ananya Pongpaibul, Napat Angkathunyakul, Narit Hnoohom, Sumeth Yuenyong, Chanitra Thuwajit, Theerawit Wilaiprasitporn

    Published 2024-01-01
    “…<italic>Methods:</italic> <italic>PseudoCell</italic> leverages a combination of pathologist-provided centroblast labels and pseudo-negative labels generated from undersampled false-positive predictions based on cell morphology features. …”
    Get full text
    Article
  14. 314
  15. 315

    Immuno-PET Imaging of Siglec-15 Using the Zirconium-89-Labeled Therapeutic Antibody, NC318 by Elaine M. Jagoda, Falguni Basuli, Colleen Olkowski, Ido Weiss, Tim E. Phelps, Karen Wong, Anita Thien Ton, Kelly C. Lane, Steve Adler, Donna Butcher, Elijah F. Edmondson, Sol Langermann, Peter L. Choyke

    Published 2023-01-01
    “…In these preclinical studies, the therapeutic mAb, NC318 (antihuman/murine Siglec-15 mAb), was labeled with zirconium-89 and evaluated in human Siglec-15 expressing cancer cells and mouse xenografts for potential use as a clinical diagnostic imaging agent. …”
    Get full text
    Article
  16. 316
  17. 317

    Cellular Imaging at 1.5 T: Detecting Cells in Neuroinflammation using Active Labeling with Superparamagnetic Iron Oxide by Ayman J. Oweida, Elizabeth A. Dunn, Paula J. Foster

    Published 2004-04-01
    “…This work provides early evidence that cellular abnormalities that are the basis of diseases can be probed using cellular MRI and supports our earlier work which indicates that tracking of iron-labeled cells will be possible using clinical MR scanners.…”
    Get full text
    Article
  18. 318
  19. 319
  20. 320

    High-Performance Dielectric Modulated Epitaxial Tunnel Layer Tunnel FET for Label-Free Detection of Biomolecules by Kunal Aggarwal, Avinash Lahgere

    Published 2024-01-01
    “…In this paper, using calibrated simulation we have reported a dielectric modulated epitaxial tunnel layer TFET (DM ETL-TFET) for the label-free detection of biomolecules. We have shown that due to vertical tunneling direction, the ETL-TFET exhibits <inline-formula><tex-math notation="LaTeX">$\sim$</tex-math></inline-formula>3 orders of improvement in the ON-state current in comparison to its counterpart conventional TFET. …”
    Get full text
    Article