Articles with "slide images" as a keyword



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Mapping of parathyroid neoplasms based on grey scale ultrasound images and histopathological whole slide images.

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Published in 2020 at "Annals of diagnostic pathology"

DOI: 10.1016/j.anndiagpath.2020.151492

Abstract: PURPOSE In this study, echogenicity and histopathological projections of parathyroid neoplasia in grey mode ultrasonography were compared with whole side imaging (WSI). The utility of the data obtained for clinical assessment was evaluated. METHODS In… read more here.

Keywords: hyperechogenic areas; slide images; tissue; cell ... See more keywords
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Accuracy is in the eyes of the pathologist: The visual interpretive process and diagnostic accuracy with digital whole slide images

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Published in 2017 at "Journal of biomedical informatics"

DOI: 10.1016/j.jbi.2017.01.004

Abstract: Digital whole slide imaging is an increasingly common medium in pathology, with application to education, telemedicine, and rendering second opinions. It has also made it possible to use eye tracking devices to explore the dynamic… read more here.

Keywords: digital whole; slide images; diagnostic accuracy; whole slide ... See more keywords
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Deep learning for bone marrow cell detection and classification on whole-slide images.

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Published in 2021 at "Medical image analysis"

DOI: 10.1016/j.media.2021.102270

Abstract: Bone marrow (BM) examination is an essential step in both diagnosing and managing numerous hematologic disorders. BM nucleated differential count (NDC) analysis, as part of BM examination, holds the most fundamental and crucial information. However,… read more here.

Keywords: slide images; analysis; deep learning; bone marrow ... See more keywords
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Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images

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Published in 2021 at "Nature biomedical engineering"

DOI: 10.1038/s41551-020-00682-w

Abstract: Deep-learning methods for computational pathology require either manual annotation of gigapixel whole-slide images (WSIs) or large datasets of WSIs with slide-level labels and typically suffer from poor domain adaptation and interpretability. Here we report an… read more here.

Keywords: weakly supervised; slide images; data efficient; pathology ... See more keywords
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Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent

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Published in 2017 at "Scientific Reports"

DOI: 10.1038/srep46450

Abstract: With the increasing ability to routinely and rapidly digitize whole slide images with slide scanners, there has been interest in developing computerized image analysis algorithms for automated detection of disease extent from digital pathology images.… read more here.

Keywords: tumor; slide images; extent; cancer ... See more keywords
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Image-to-image translation for automatic ink removal in whole slide images

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Published in 2020 at "Journal of Medical Imaging"

DOI: 10.1117/1.jmi.7.5.057502

Abstract: Abstract. Purpose: Deep learning models are showing promise in digital pathology to aid diagnoses. Training complex models requires a significant amount and diversity of well-annotated data, typically housed in institutional archives. These slides often contain… read more here.

Keywords: whole slide; ink; pathology; slide images ... See more keywords
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Compound computer vision workflow for efficient and automated immunohistochemical analysis of whole slide images

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Published in 2022 at "Journal of Clinical Pathology"

DOI: 10.1136/jclinpath-2021-208020

Abstract: Aims Immunohistochemistry (IHC) assessment of tissue is a central component of the modern pathology workflow, but quantification is challenged by subjective estimates by pathologists or manual steps in semi-automated digital tools. This study integrates various… read more here.

Keywords: slide images; pathology; computer vision; whole slide ... See more keywords
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Artificial Intelligence Meets Whole Slide Images: Deep Learning Model Shapes an Immune-Hot Tumor and Guides Precision Therapy in Bladder Cancer

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Published in 2022 at "Journal of Oncology"

DOI: 10.1155/2022/8213321

Abstract: Background To construct and validate a deep learning cluster from whole slide images (WSI) for depicting the immunophenotypes and functional heterogeneity of the tumor microenvironment (TME) in patients with bladder cancer (BLCA) and to explore… read more here.

Keywords: whole slide; deep learning; slide images; wsi cluster ... See more keywords
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Pathology Trainees’ Experience and Attitudes on Use of Digital Whole Slide Images

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Published in 2020 at "Academic Pathology"

DOI: 10.1177/2374289520951922

Abstract: Digital whole slide images are Food and Drug Administration approved for clinical diagnostic use in pathology; however, integration is nascent. Trainees from 9 pathology training programs completed an online survey to ascertain attitudes toward and… read more here.

Keywords: medical school; slide images; slide; digital whole ... See more keywords
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Computer Aided Classifier of Colorectal Cancer on Histopatological Whole Slide Images Analyzing Deep Learning Architecture Parameters

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Published in 2023 at "Applied Sciences"

DOI: 10.3390/app13074594

Abstract: The diagnosis of different pathologies and stages of cancer using whole histopathology slide images (WSI) is the gold standard for determining the degree of tissue metastasis. The use of deep learning systems in the field… read more here.

Keywords: neural network; learning architecture; deep learning; slide images ... See more keywords
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BM-Net: CNN-Based MobileNet-V3 and Bilinear Structure for Breast Cancer Detection in Whole Slide Images

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Published in 2022 at "Bioengineering"

DOI: 10.3390/bioengineering9060261

Abstract: Breast cancer is one of the most common types of cancer and is the leading cause of cancer-related death. Diagnosis of breast cancer is based on the evaluation of pathology slides. In the era of… read more here.

Keywords: whole slide; pathology; breast cancer; slide images ... See more keywords