Results 31 to 40 of about 345,506 (334)

A loss-based patch label denoising method for improving whole-slide image analysis using a convolutional neural network

Scientific Reports, 2022
This paper proposes a deep learning-based patch label denoising method (LossDiff) for improving the classification of whole-slide images of cancer using a convolutional neural network (CNN). Automated whole-slide image classification is often challenging,
Murtaza Ashraf, Willmer Rafell Quiñones Robles, Mujin Kim, Young Sin Ko, Mun Yong Yi   +4 more
doaj   +1 more source

Whole slide image representation in bone marrow cytology

Computers in Biology and Medicine, 2022
AbstractOne of the goals of AI-based computational pathology is to generate compact WSI representations, identifying the essential information required for diagnosis. While such approaches have been applied to histopathology, few applications have been reported in cytology.
Youqing Mu, H.R. Tizhoosh, Taher Dehkharghanian, Clinton J.V. Campbell   +3 more
openaire   +2 more sources

Referenceless image quality evaluation for whole slide imaging

Journal of Pathology Informatics, 2012
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 required.While most of the conventional methods for no-reference evaluation only deal with one image degradation ...
Noriaki Hashimoto, Pinky A Bautista, Masahiro Yamaguchi, Nagaaki Ohyama, Yukako Yagi   +4 more
openaire   +3 more sources

Assessment of algorithms for mitosis detection in breast cancer histopathology images [PDF]

, 2014
The proliferative activity of breast tumors, which is routinely estimated by counting of mitotic figures in hematoxylin and eosin stained histology sections, is considered to be one of the most important prognostic markers.
Adnan M. Khan, Al-Janabi, Al-Janabi, Alessandro Giusti, Anant Madabhushi, Anders B. Dahl, Anders B.L. Larsen, Angel Cruz-Roa, Beliën, Bogdan J. Matuszewski, Ching-Wei Wang, Ciresan, Ciresan, Ciresan, Dan C. Cireşan, Elston, Evdokia Arkoumani, F. Boray Tek, Fabio Gonzalez, Frederic Precioso, Gurcan, Haibo Wang, Harder, Huisman, Irshad, Jacob S. Vestergaard, Josef Kittler, Josien P.W. Pluim, Jürgen Schmidhuber, Kaman, Khan, Larsen, Luca M. Gambardella, Malon, Max A. Viergever, Miangela M. Lacle, Mitko Veta, Nasir M. Rajpoot, Padfield, Paul J. van Diest, Roux, Ruifrok, Satoshi Kondo, Seiffert, Stathonikos, Stefan M. Willems, Tek, ten Kate, Teofilo E. de Campos, Thomas Walter, Titsias, van Diest, van Diest, Veta, Violet Snell, Walter, Walter, Wang, Wang, Wang   +59 more
core   +5 more sources

Whole Slide Imaging and telepathology [PDF]

Breast Cancer Research, 2003
Accurate diagnosis of lesions in genetically engineered mice requires a level of experience and expertise that is not available in all institutions. As a result, there is an unmet demand for the services of a limited number of expert pathologists. In order to meet this demand, we have developed several electronic, web-based educational and consulting ...
openaire   +1 more source

Regional registration of whole slide image stacks containing major histological artifacts

BMC Bioinformatics, 2020
Background High resolution 2D whole slide imaging provides rich information about the tissue structure. This information can be a lot richer if these 2D images can be stacked into a 3D tissue volume.
Mahsa Paknezhad, Sheng Yang Michael Loh, Yukti Choudhury, Valerie Koh Cui Koh, Timothy Tay Kwang Yong, Hui Shan Tan, Ravindran Kanesvaran, Puay Hoon Tan, John Yuen Shyi Peng, Weimiao Yu, Yongcheng Benjamin Tan, Yong Zhen Loy, Min-Han Tan, Hwee Kuan Lee   +13 more
doaj   +1 more source

Learning to Segment Breast Biopsy Whole Slide Images

, 2017
We trained and applied an encoder-decoder model to semantically segment breast biopsy images into biologically meaningful tissue labels. Since conventional encoder-decoder networks cannot be applied directly on large biopsy images and the different sized
Bartlett, Jamen, Elmore, Joann, Mehta, Sachin, Mercan, Ezgi, Shapiro, Linda, Weaver, Donald   +5 more
core   +1 more source

Stain Specific Standardization of Whole-Slide Histopathological Images [PDF]

IEEE Transactions on Medical Imaging, 2016
Variations in the color and intensity of hematoxylin and eosin (H&E) stained histological slides can potentially hamper the effectiveness of quantitative image analysis. This paper presents a fully automated algorithm for standardization of whole-slide histopathological images to reduce the effect of these variations.
Ehteshami Bejnordi, B., Litjens, G.J, Timofeeva, N, Otte-Holler, I, Homeyer, A., Karssemeijer, N., Laak, J.A.W.M. van der   +6 more
openaire   +3 more sources

Balancing Image Quality and Compression Factor for Special Stains Whole Slide Images

Analytical Cellular Pathology, 2012
The objective is to find a practical balance between quality and performance for daily high volume whole slide imaging. We evaluated whole slide images created by various scanners at different compression factors to determine the best suitable quality ...
Anurag Sharma, Pinky Bautista, Yukako Yagi   +2 more
doaj   +1 more source

PAI-WSIT: An AI Service Platform With Support for Storing and Sharing Whole-Slide Images With Metadata and Annotations

IEEE Access, 2019
Advances in whole-slide images (WSI) technology can promote the pathology environment based on digital imaging and make a very compelling case as part of the clinical workflow.
Yi Jin, Changjiang Zhou, Xiaodong Teng, Jiatong Ji, Hong Wu, Jun Liao   +5 more
doaj   +1 more source