Evidence map›Paper›PMID 28804569›Full record

ArticleProceedings. IEEE International Symposium on Biomedical Imaging2017

DYNAMIC REGISTRATION FOR GIGAPIXEL SERIAL WHOLE SLIDE IMAGES.

Blair J Rossetti, Fusheng Wang, Pengyue Zhang, George Teodoro, Daniel J Brat, Jun Kong

Abstract read
In one paragraph

Article in Proceedings. IEEE International Symposium on Biomedical Imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Whole-Slide Imaging, Mutual Information Registration for Multiplex Immunohistochemistry and Immunofluorescence.Laboratory investigation; a journal of technical methods and pathology · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. IMAGE REGISTRATION WITH OPTIMAL REGULARIZATION PARAMETER SELECTION BY LEARNED AUTO ENCODER FEATURES.Proceedings. IEEE International Symposium on Biomedical Imaging · 2021
    Article
  12. Article
  13. Article
  14. Spatial Attention-Based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Blair J RossettiDepartment of Biomedical Informatics, Emory University, Atlanta, GA, 30322, USA.
Fusheng WangDepartment of Computer Science, Stony Brook University, Stony Brook, NY, 11794, USA.
Pengyue ZhangDepartment of Computer Science, Stony Brook University, Stony Brook, NY, 11794, USA.
George TeodoroDepartment of Computer Science, University of Brasília, Brasília, DF, Brazil.
Daniel J BratDepartment of Pathology, Emory University, Atlanta, GA, 30322, USA.
Jun KongDepartment of Biomedical Informatics, Emory University, Atlanta, GA, 30322, USA.

Funding

Molecular Target Variation Across Environments and at Margins of GlioblastomaR01CA176659 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BRAT, DANIEL J, HADJIPANAYIS, CONSTANTINOS GEORGE · 2013 to 2017
$2.3M
Quantitative Analysis of GBM Invasion Mechanisms with New Imaging ProtocolK25CA181503 · NCI · GEORGIA STATE UNIVERSITY · PI KONG, JUN · 2014 to 2018
$592k
NCI NIH HHS K25 CA181503NCI NIH HHS R01 CA176659
6 · The paper itself

Abstract

High-throughput serial histology imaging provides a new avenue for the routine study of micro-anatomical structures in a 3D space. However, the emergence of serial whole slide imaging poses a new registration challenge, as the gigapixel image size precludes the direct application of conventional registration techniques. In this paper, we develop a three-stage registration with multi-resolution mapping and propagation method to dynamically produce registered subvolumes from serial whole slide images. We validate our algorithm with gigapixel images of serial brain tumor sections and synthetic image volumes. The qualitative and quantitative assessment results demonstrate the efficacy of our approach and suggest its promise for 3D histology reconstruction analysis.

Indexed as

Histopathology image registration

Identifiers

PMID28804569
PMCPMC5550903

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.