Results 31 to 40 of about 1,019 (182)

Detecting Cancer Metastases on Gigapixel Pathology Images

open access: yesCoRR, 2017
Fig 1: normal and tumor patches were accidentally reversed - now fixed. Minor grammatical corrections in appendix, section "Image Color Normalization"
Yun Liu 0013   +12 more
openaire   +2 more sources

Capturing Cellular Topology in Multi-Gigapixel Pathology Images

open access: yes2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020
In computational pathology, multi-gigapixel whole slide images (WSIs) are typically divided into small patches because of their extremely large size and memory requirements. However, following this strategy, one risks losing visual context which is very important in the development of machine learning models aimed at diagnostic and prognostic ...
Wenqi Lu 0001   +4 more
openaire   +3 more sources

Federated learning for computational pathology on gigapixel whole slide images

open access: yesMedical Image Analysis, 2022
Deep Learning-based computational pathology algorithms have demonstrated profound ability to excel in a wide array of tasks that range from characterization of well known morphological phenotypes to predicting non-human-identifiable features from histology such as molecular alterations.
Ming Y. Lu   +7 more
openaire   +3 more sources

Multiscale-VR: Multiscale Gigapixel 3D Panoramic Videography for Virtual Reality

open access: yes, 2020
Creating virtual reality (VR) content with effective imaging systems has attracted significant attention worldwide following the broad applications of VR in various fields, including entertainment, surveillance, sports, etc.
Zhang, Anke   +19 more
core   +1 more source

Experience deploying an analysis facility for the Rubin Observatory’s Legacy Survey of Space and Time (LSST) data [PDF]

open access: yesEPJ Web of Conferences
The Vera C. Rubin Observatory is preparing for the execution of the most ambitious astronomical survey ever attempted, the Legacy Survey of Space and Time (LSST).
Mainetti Gabriele   +3 more
doaj   +1 more source

Full-field Fourier ptychography (FFP): Spatially varying pupil modeling and its application for rapid field-dependent aberration metrology

open access: yesAPL Photonics, 2019
Digital aberration measurement and removal play a prominent role in computational imaging platforms aimed at achieving simple and compact optical arrangements.
Pengming Song   +5 more
doaj   +1 more source

Overview of the distributed image processing infrastructure to produce the Legacy Survey of Space and Time [PDF]

open access: yesEPJ Web of Conferences
The Vera C. Rubin Observatory is preparing to execute the most ambitious astronomical survey ever attempted, the Legacy Survey of Space and Time (LSST).
Hernandez Fabio   +11 more
doaj   +1 more source

Efficient, gigapixel-scale, aberration-free whole slide scanner using angular ptychographic imaging with closed-form solution. [PDF]

open access: yesBiomed Opt Express
Whole slide imaging provides a wide field-of-view (FOV) across cross-sections of biopsy or surgery samples, significantly facilitating pathological analysis and clinical diagnosis.
Zhao S, Zhou H, Lin SS, Cao R, Yang C.
europepmc   +2 more sources

The Design and Evaluation of Interfaces for Navigating Gigapixel Images in Digital Pathology [PDF]

open access: yesACM Transactions on Computer-Human Interaction, 2016
This article describes the design and evaluation of two generations of an interface for navigating datasets of gigapixel images that pathologists use to diagnose cancer. The interface design is innovative because users panned with an overview:detail view scale difference that was up to 57 times larger than established guidelines, and 1 million pixel ...
Ruddle, RA   +4 more
openaire   +2 more sources

Biomechanics‐Driven 3D Architecture Inference from Histology Using CellSqueeze3D

open access: yesAdvanced Science, Volume 13, Issue 10, 18 February 2026.
CellSqueeze3D reconstructs 3D cellular architecture from standard 2D histology images using biomechanical constraints and optimization. Validated on clinical datasets, it enables accurate tissue phenotyping, predicts gene mutations, and reveals significant correlations between nuclear‐cytoplasmic ratio entropy and tumor progression.
Yan Kong, Hui Lu
wiley   +1 more source

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