Results 21 to 30 of about 342,644 (288)
Fast ScanNet : fast and dense analysis of multi-gigapixel whole-slide images for cancer metastasis detection [PDF]
, 2019 Lymph node metastasis is one of the most important indicators in breast cancer diagnosis, that is traditionally observed under the microscope by pathologists.
Chen, Hao +5 more
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Risk-aware survival time prediction from whole slide pathological images
Scientific Reports, 2022 Deep-learning-based survival prediction can assist doctors by providing additional information for diagnosis by estimating the risk or time of death. The former focuses on ranking deaths among patients based on the Cox model, whereas the latter directly ...
Zhixin Xu +6 more
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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. Navigation of digitized slides is interactive and intended to simulate viewing glass slides with a microscope (virtual microscopy).
Liron Pantanowitz +3 more
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A Graph-Transformer for Whole Slide Image Classification
IEEE Transactions on Medical Imaging, 2022 Deep learning is a powerful tool for whole slide image (WSI) analysis. Typically, when performing supervised deep learning, a WSI is divided into small patches, trained and the outcomes are aggregated to estimate disease grade. However, patch-based methods introduce label noise during training by assuming that each patch is independent with the same ...
Yi Zheng +6 more
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Privacy risks of whole-slide image sharing in digital pathology
Nature Communications, 2023 Access to large volumes of so-called whole-slide images—high-resolution scans of complete pathological slides—has become a cornerstone of the development of novel artificial intelligence methods in pathology for diagnostic use, education/training of ...
Petr Holub +9 more
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A framework for 3D vessel analysis using whole slide images of liver tissue sections [PDF]
, 2016 Three-dimensional (3D) high resolution microscopic images have high potential for improving the understanding of both normal and disease processes where structural changes or spatial relationship of disease features are significant.
Kong, J +7 more
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Color standardization in whole slide imaging using a color calibration slide
Journal of Pathology Informatics, 2014 Background: Color consistency in histology images is still an issue in digital pathology. Different imaging systems reproduced the colors of a histological slide differently.
Pinky A Bautista +2 more
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Pan-cancer classifications of tumor histological images using deep learning [PDF]
, 2020 Histopathological images are essential for the diagnosis of cancer type and selection of optimal treatment. However, the current clinical process of manual inspection of images is time consuming and prone to intra- and inter-observer variability. Here we
Caruana, Dennis +8 more
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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 +3 more
openaire +2 more sources
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 +4 more
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