Digital pathology in clinical use: where are we now and what is holding us back? [PDF]
, 2016 Whole slide imaging is being used increasingly in research applications and in frozen section, consultation and external quality assurance practice. Digital pathology, when integrated with other digital tools such as barcoding, specimen tracking and ...
Griffin, J, Treanor, D
core +2 more sources
Darkfield adapter for whole slide imaging: adapting a darkfield internal reflection illumination system to extend WSI applications. [PDF]
PLoS ONE, 2013 We present a new method for whole slide darkfield imaging. Whole Slide Imaging (WSI), also sometimes called virtual slide or virtual microscopy technology, produces images that simultaneously provide high resolution and a wide field of observation that ...
Yoshihiro Kawano +7 more
doaj +1 more source
Automatic Feature Selection for Improved Interpretability on Whole Slide Imaging
Machine Learning and Knowledge Extraction, 2021 Deep learning methods are widely used for medical applications to assist medical doctors in their daily routine. While performances reach expert’s level, interpretability (highlighting how and what a trained model learned and why it makes a specific ...
Antoine Pirovano +4 more
doaj +1 more source
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
doaj +1 more source
Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis [PDF]
, 2018 Neural networks promise to bring robust, quantitative analysis to medical fields, but adoption is limited by the technicalities of training these networks.
Ginley, Brandon +9 more
core +2 more sources
Simple Shading Correction Method for Brightfield Whole Slide Imaging
Sensors, 2020 Whole slide imaging (WSI) refers to the process of creating a high-resolution digital image of a whole slide. Since digital images are typically produced by stitching image sequences acquired from different fields of view, the visual quality of the ...
Yoon-Oh Tak +5 more
doaj +1 more source
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
doaj +1 more source
Evaluation and comparison between smartphone and photomicrography based whole slide imaging
Journal of Family Medicine and Primary Care, 2020 Context: In recent years, a new concept has emerged at the forefront of slide-based diagnosis and telepathology. This is the concept of whole slide imaging. This has very recently also been tried with smartphones using complex software for photo analysis
Shruthi K Patil +3 more
doaj +1 more source
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
openaire +3 more sources
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