Mapping of parathyroid neoplasms based on grey scale ultrasound images and histopathological whole slide images.
Sign Up to like & getrecommendations! 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
Accuracy is in the eyes of the pathologist: The visual interpretive process and diagnostic accuracy with digital whole slide images
Sign Up to like & getrecommendations! 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
Deep learning for bone marrow cell detection and classification on whole-slide images.
Sign Up to like & getrecommendations! 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
Generating dermatopathology reports from gigapixel whole slide images with HistoGPT
Sign Up to like & getrecommendations! Published in 2025 at "Nature Communications"
DOI: 10.1038/s41467-025-60014-x
Abstract: Histopathology is the reference standard for diagnosing the presence and nature of many diseases, including cancer. However, analyzing tissue samples under a microscope and summarizing the findings in a comprehensive pathology report is time-consuming, labor-intensive,… read more here.
Keywords: pathology; language; histopathology; slide images ... See more keywords
Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images
Sign Up to like & getrecommendations! 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
Improving quality control of whole slide images by explicit artifact augmentation
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-68667-2
Abstract: The problem of artifacts in whole slide image acquisition, prevalent in both clinical workflows and research-oriented settings, necessitates human intervention and re-scanning. Overcoming this challenge requires developing quality control algorithms, that are hindered by the… read more here.
Keywords: whole slide; histopathology; quality control; slide images ... See more keywords
Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent
Sign Up to like & getrecommendations! 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
Endometrial Whole Slide Images Dataset for Detection of malignancy in endometrial biopsies.
Sign Up to like & getrecommendations! Published in 2025 at "GigaScience"
DOI: 10.1093/gigascience/giaf147
Abstract: Abstract Background Whole-slide imaging enables the digitization of entire histological slides at a high resolution, allowing pathologists and researchers to analyze tissue samples digitally rather than through traditional microscopy. This technology has become increasingly valuable… read more here.
Keywords: cancer; endometrial whole; pathology; slide images ... See more keywords
Image-to-image translation for automatic ink removal in whole slide images
Sign Up to like & getrecommendations! 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
Compound computer vision workflow for efficient and automated immunohistochemical analysis of whole slide images
Sign Up to like & getrecommendations! 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
Artificial Intelligence Meets Whole Slide Images: Deep Learning Model Shapes an Immune-Hot Tumor and Guides Precision Therapy in Bladder Cancer
Sign Up to like & getrecommendations! 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