Results 11 to 20 of about 196,015 (277)

Whole slide imaging for educational purposes

Journal of Pathology Informatics, 2012
Digitized slides produced by whole slide image scanners can be easily shared over a network or by transferring image files to optical or other data storage devices.
Liron Pantanowitz, Janusz Szymas, Yukako Yagi, David Wilbur   +3 more
doaj   +3 more sources

Referenceless image quality evaluation for whole slide imaging

Journal of Pathology Informatics, 2012
Objective: The image quality in whole slide imaging (WSI) is one of the most important issues for the practical use of WSI scanners. In this paper, we proposed an image quality evaluation method for scanned slide images in which no reference image is ...
Noriaki Hashimoto, Pinky A Bautista, Masahiro Yamaguchi, Nagaaki Ohyama, Yukako Yagi   +4 more
doaj   +3 more sources

Bringing Open Data to Whole Slide Imaging [PDF]

, 2019
Supplementary information associated with Besson et al. (2019) ECDP 2019 Faced with the need to support a growing number of whole slide imaging (WSI) file formats, our team has extended a long-standing community file format (OME-TIFF) for use in digital
A Goode, A Iudin, A Janowczyk, BE Bejnordi, C Allan, E Williams, IG Goldberg, J-M Burel, J-R Lin, K Sirinukunwattana, M Linkert, M Udall, M Uhlén, MD Wilkinson, N Beig, P Bankhead, P Leo, R Awan, R Singh, S Li, T Marques Godinho, Yury Goltsev   +21 more
core   +6 more sources

Mapping stain distribution in pathology slides using whole slide imaging

Journal of Pathology Informatics, 2014
Background: Whole slide imaging (WSI) offers a novel approach to digitize and review pathology slides, but the voluminous data generated by this technology demand new computational methods for image analysis.
Fang-Cheng Yeh, Qing Ye, T Kevin Hitchens, Yijen L Wu, Anil V Parwani, Chien Ho   +5 more
doaj   +3 more sources

Color standardization and optimization in Whole Slide Imaging [PDF]

Diagnostic Pathology, 2011
Introduction Standardization and validation of the color displayed by digital slides is an important aspect of digital pathology implementation. While the most common reason for color variation is the variance in the protocols and practices in the ...
Yagi Yukako
doaj   +3 more sources

Mobile whole slide imaging with Indian twist

Indian Journal of Pathology and Microbiology, 2018
Himanshu Dilip Mulay, Anil K Reddy, Balasaheb R Yelikar   +2 more
doaj   +3 more sources

Technology and applications of whole slide imaging. [PDF]

J Oral Maxillofac Pathol, 2023
Palaskar SJ.
europepmc   +3 more sources

Synthesizing whole slide images [PDF]

2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA), 2015
The increasing availability of digital whole slide images opens new perspectives for computer-assisted image analysis complementing modern histopathology, assuming we can implement reliable and efficient image analysis algorithms to extract the biologically relevant information.
Apou, Gregory, Feuerhake, Friedrich, Forestier, Germain, Naegel, Benoit, Wemmert, Cedric   +4 more
openaire   +2 more sources

Managing and querying whole slide images [PDF]

SPIE Proceedings, 2012
High-resolution pathology images provide rich information about the morphological and functional characteristics of biological systems, and are transforming the field of pathology into a new era. To facilitate the use of digital pathology imaging for biomedical research and clinical diagnosis, it is essential to manage and query both whole slide images
Fusheng, Wang, Tae W, Oh, Cristobal, Vergara-Niedermayr, Tahsin, Kurc, Joel, Saltz   +4 more
openaire   +2 more sources

Systems pathology by multiplexed immunohistochemistry and whole-slide digital image analysis [PDF]

, 2017
The paradigm of molecular histopathology is shifting from a single-marker immunohistochemistry towards multiplexed detection of markers to better understand the complex pathological processes. However, there are no systems allowing multiplexed IHC (mIHC)
Blom, Sami, Bychkov, Dmitrii, Hemmes, Annabrita, Kallioniemi, Olli, Lundin, Johan, Maki-Teeri, Petra, Paavolainen, Lassi, Pellinen, Teijo, Turkki, Riku, Valimaki, Katja   +9 more
core   +2 more sources