Evidence map›Paper›PMID 33681410›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2021

Fully automated estimation of the mean linear intercept in histopathology images of mouse lung tissue.

Sina Salsabili, Marissa Lithopoulos, Shreyas Sreeraman, Arul Vadivel, Bernard Thébaud, Adrian D C Chan, Eranga Ukwatta

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Easily adaptable Fiji macro for mean linear intercept measurement of peripheral respiratory airspace.Developmental dynamics : an official publication of the American Association of Anatomists · 2026
    Article
  2. AlveolEye: rapid and precise lung morphometry guided by computer vision.American journal of physiology. Lung cellular and molecular physiology · 2026
    Article
  3. Artificial intelligence-enabled histological analysis in pre-clinical respiratory disease models: a scoping review.European respiratory review : an official journal of the European Respiratory Society · 2026
    Article
  4. Article
  5. Article
  6. Deep-Masker: A Deep Learning-based Tool to Assess Chord Length from Murine Lung Images.American journal of respiratory cell and molecular biology · 2023
    Article
  7. 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

7 authors.

Sina SalsabiliCarleton University, Department of Systems and Computer Engineering, Ottawa, Ontario, Canada.ORCID https://orcid.org/0000-0002-9435-3661
Marissa LithopoulosOttawa Hospital Research Institute, Sinclair Centre for Regenerative Medicine, Ottawa, Ontario, Canada.ORCID https://orcid.org/0000-0002-4403-0418
Shreyas SreeramanMcMaster University, Michael G. DeGroote School of Medicine, Hamilton, Ontario, Canada.
Arul VadivelOttawa Hospital Research Institute, Sinclair Centre for Regenerative Medicine, Ottawa, Ontario, Canada.ORCID https://orcid.org/0000-0003-3202-8545
Bernard ThébaudOttawa Hospital Research Institute, Sinclair Centre for Regenerative Medicine, Ottawa, Ontario, Canada.
Adrian D C ChanCarleton University, Department of Systems and Computer Engineering, Ottawa, Ontario, Canada.ORCID https://orcid.org/0000-0002-2111-247X
Eranga UkwattaCarleton University, Department of Systems and Computer Engineering, Ottawa, Ontario, Canada.ORCID https://orcid.org/0000-0003-0180-4716

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

bronchopulmonary dysplasiahistopathologyimage segmentationmean linear intercept

Identifiers

PMID33681410
PMCPMC7932085

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.