Results 11 to 20 of about 101,148 (258)

An automated blur detection method for histological whole slide imaging. [PDF]

open access: yesPLoS ONE, 2013
Whole slide scanners are novel devices that enable high-resolution imaging of an entire histological slide. Furthermore, the imaging is achieved in only a few minutes, which enables image rendering of large-scale studies involving multiple ...
Xavier Moles Lopez   +7 more
doaj   +1 more source

Development of neoplastic region selection algorithm based on breast cancer whole slide image

open access: yesДоклады Белорусского государственного университета информатики и радиоэлектроники, 2020
Analysis of breast cancer whole-slide image is an extremely labor-intensive process. Histological whole slide images have the following features: a high degree of tissue diversity both in one image and between different images, hierarchy, a large amount ...
S. N. Rjabceva   +8 more
doaj   +1 more source

A Graph-Transformer for Whole Slide Image Classification

open access: yesIEEE 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 0006   +6 more
openaire   +3 more sources

Pathology Trainees’ Experience and Attitudes on Use of Digital Whole Slide Images

open access: yesAcademic Pathology, 2020
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 ...
Joann G. Elmore MD, MPH   +8 more
doaj   +1 more source

Federated learning with hyper-network—a case study on whole slide image analysis

open access: yesScientific Reports, 2023
Federated learning(FL) is a new kind of Artificial Intelligence(AI) aimed at data privacy preservation that builds on decentralizing the training data for the deep learning model.
Yanfei Lin   +3 more
doaj   +1 more source

Diagnostic proficiency test using digital cytopathology and comparative assessment of whole slide images of cytologic samples for quality assurance program in Korea [PDF]

open access: yesJournal of Pathology and Translational Medicine, 2023
Background The Korean Society for Cytopathology introduced a digital proficiency test (PT) in 2021. However, many doubtful opinions remain on whether digitally scanned images can satisfactorily present subtle differences in the nuclear features and ...
Yosep Chong   +8 more
doaj   +1 more source

Whole slide imaging

open access: yesIndian Journal of Pathology and Microbiology, 2021
The last two decades have seen considerable progress in the use of digital technology in histopathology. Digital photography of microscopic slides and the use of static images gave way to robotic microscopes. These technologies had their own limitations that precluded their widespread use. Creation of whole slide scanners that
openaire   +3 more sources

Managing and querying whole slide images [PDF]

open access: yesSPIE Proceedings, 2012
High-resolution pathology images provide rich information about the morphological and functional characteristics of biological systems, and are transforming the field of pathology into a new era. To facilitate the use of digital pathology imaging for biomedical research and clinical diagnosis, it is essential to manage and query both whole slide images
Fusheng, Wang   +4 more
openaire   +2 more sources

Orbit Image Analysis: An open-source whole slide image analysis tool.

open access: yesPLoS Computational Biology, 2020
We describe Orbit Image Analysis, an open-source whole slide image analysis tool. The tool consists of a generic tile-processing engine which allows the execution of various image analysis algorithms provided by either Orbit itself or from other open ...
Manuel Stritt   +2 more
doaj   +1 more source

Overcoming the limitations of patch-based learning to detect cancer in whole slide images

open access: yesScientific Reports, 2021
Whole slide images (WSIs) pose unique challenges when training deep learning models. They are very large which makes it necessary to break each image down into smaller patches for analysis, image features have to be extracted at multiple scales in order ...
Ozan Ciga   +5 more
doaj   +1 more source

Home - About - Disclaimer - Privacy