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whole-slide images

Continuous representation of tumor microvessel density and detection of angiogenic hotspots in histological whole-slide images

Continuous representation of tumor microvessel density and detection of angiogenic hotspots in histological whole-slide images

... reasons, whole slide images are divided into tiles for image segmentation, but a tile overlap ensures that the segmentation result is invariant with respect to tile ...

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Towards better digital pathology workflows: programming libraries for high-speed sharpness assessment of Whole Slide Images

Towards better digital pathology workflows: programming libraries for high-speed sharpness assessment of Whole Slide Images

... Background: Since microscopic slides can now be automatically digitized and integrated in the clinical workflow, quality assessment of Whole Slide Images (WSI) has become a crucial issue. We present ...

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Continuous representation of tumor microvessel density and detection of angiogenic hotspots in histological whole-slide images

Continuous representation of tumor microvessel density and detection of angiogenic hotspots in histological whole-slide images

... best of our knowledge, such a method has never been used before, even outside the realm of digital pathology. Therefore, we validated the results using several spatial statistical methods implemented in the ...

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Learning pathology using collaborative vs. individual annotation of whole slide images: a mixed methods trial

Learning pathology using collaborative vs. individual annotation of whole slide images: a mixed methods trial

... Virtual microscopy (VM) is the use of computer tech- nology to view digitised versions of glass slides as whole slide images (WSIs) [1]. To enable this approach, WSIs are typically served via the ...

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Simultaneous automatic scoring and co registration of hormone receptors in tumour areas in whole slide images of breast cancer tissue slides

Simultaneous automatic scoring and co registration of hormone receptors in tumour areas in whole slide images of breast cancer tissue slides

... paper. Whole-slide images used during the course of this project have been acquired using Omnyx scanners installed at University Hospitals Coventry and ...

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Fast ScanNet : fast and dense analysis of multi gigapixel whole slide images for cancer metastasis detection

Fast ScanNet : fast and dense analysis of multi gigapixel whole slide images for cancer metastasis detection

... from whole- slide images has received a wealth of interest in the field of medical image computing, which aims to alleviate pathologists’ workload and simultaneously reduce misdiagnosis ...from ...

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Hyper stain inspector : a framework for robust registration and localised co expression analysis of multiple whole slide images of serial histology sections

Hyper stain inspector : a framework for robust registration and localised co expression analysis of multiple whole slide images of serial histology sections

... In this paper, we present a fast method for registration of multiple large, digitised whole-slide images (WSIs) of serial histology sections. Through cross-slide WSI registration, it becomes ...

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Her2 challenge contest: a detailed assessment of automated her2 scoring algorithms in whole slide images of breast cancer tissues

Her2 challenge contest: a detailed assessment of automated her2 scoring algorithms in whole slide images of breast cancer tissues

... gigapixel images stored in a multi-resolution pyramid structure where the highest resolution is ...172 whole slide images (WSI) extracted from 86 cases of invasive breast carcinomas and ...

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Cytopathology whole slide images and adaptive tutorials for senior medical students: a randomized crossover trial

Cytopathology whole slide images and adaptive tutorials for senior medical students: a randomized crossover trial

... including whole slide images (WSI) and virtual microscopy adaptive tutorials (VMATs), to teach cytopathology to pathology specialist trainees – a group that had prior exposure to cytopathology in ...

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Mosaic based color transform optimization for lossy and lossy to lossless compression of pathology whole slide images

Mosaic based color transform optimization for lossy and lossy to lossless compression of pathology whole slide images

... of whole-slide images (WSIs) in pathology entails stringent storage and transmission requirements because of their huge ...yield images more similar to the original than other state-of-the-art ...

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Accuracy of a remote quantitative image analysis in the whole slide images

Accuracy of a remote quantitative image analysis in the whole slide images

... It has been demonstrated that the Ki-67 proliferation index is the most important criterion for histological classification of meningiomas, oligodendrogliomas or astrocytomas [1,3,4]. The computer-aided image analysis ...

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Distributed computing in image analysis using open source frameworks and application to image sharpness assessment of histological whole slide images

Distributed computing in image analysis using open source frameworks and application to image sharpness assessment of histological whole slide images

... Background: Automated image analysis on virtual slides is evolving rapidly and will play an important role in the future of digital pathology. Due to the image size, the computational cost of processing whole ...

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Students' performance during practical examination on whole slide images using view path tracking

Students' performance during practical examination on whole slide images using view path tracking

... the whole WSI area and all zoom levels, while collecting the viewing behavior data centrally from many simultaneous WSI ...Generated images and animations showed view fields and paths marked on WSI ...

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Liver whole slide image analysis for 3D vessel reconstruction

Liver whole slide image analysis for 3D vessel reconstruction

... 12 whole slide images of liver tissue sec- tions [3] from the University of ...Each whole-slide image has a typical resolution of 75k × 65k pixels, with the physical resolution ...

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Stack or trash? Quality assessment of virtual slides

Stack or trash? Quality assessment of virtual slides

... Since microscopic slides can now be automatically digi- tized and integrated in the clinical workflow, quality assessment of these Whole Slide Images (WSI) has become a crucial issue. At this time, ...

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Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study

Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study

... histopathological whole-slide ...real-world images from the DACHS ...pathology slide, the whole-slide image was manually segmented by an observer trained in pathology to show ...

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Automated Vascular Smooth Muscle Segmentation, Reconstruction, Classification and Simulation on Whole-Slide Histology

Automated Vascular Smooth Muscle Segmentation, Reconstruction, Classification and Simulation on Whole-Slide Histology

... field images from conventional microscopes, scanned tissue microarrays (TMAs) and scanned whole-slide ...involves images taken from a charge-coupled device camera mounted on top of a bright ...

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Validation of mitotic cell quantification via microscopy and multiple whole-slide scanners

Validation of mitotic cell quantification via microscopy and multiple whole-slide scanners

... Five observers were asked to identify all mitotic cells in the ROIs with microscopy and with WSI. The eeDAP system presented the whole slide images with the ROI outlined by a square using Leica ...

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EuropePMC-PMC5515468.pdf

EuropePMC-PMC5515468.pdf

... or whole-slide images, recognizing the value of specifically selecting structures to be evaluated, a recent concordance study was conducted using single digital images of glomeruli to identify ...

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Automated Interpretation of Blood Culture Gram Stains by Use of a Deep Convolutional Neural Network

Automated Interpretation of Blood Culture Gram Stains by Use of a Deep Convolutional Neural Network

... Here, we provide a proof of concept for automated, deep-learning-based Gram stain analysis. The major conceptual and technical innovations were 2-fold. First, we devel- oped an imaging protocol using an automated ...

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