Evidence map›Paper›PMID 35161653›Full record

ArticleSensors (Basel, Switzerland)2022

An Adaptive Learning Model for Multiscale Texture Features in Polyp Classification via Computed Tomographic Colonography.

Weiguo Cao, Marc J Pomeroy, Shu Zhang, Jiaxing Tan, Zhengrong Liang, Yongfeng Gao, Almas F Abbasi, Perry J Pickhardt

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

8 authors.

Weiguo CaoDepartment of Radiology, Stony Brook University, Stony Brook, NY 11794, USA.
Marc J PomeroyDepartment of Radiology, Stony Brook University, Stony Brook, NY 11794, USA.ORCID 0000-0002-3982-1776
Shu ZhangDepartment of Radiology, Stony Brook University, Stony Brook, NY 11794, USA.
Jiaxing TanDepartment of Computer Science, City University of New York, New York, NY 10314, USA.
Zhengrong LiangDepartment of Radiology, Stony Brook University, Stony Brook, NY 11794, USA.
Yongfeng GaoDepartment of Radiology, Stony Brook University, Stony Brook, NY 11794, USA.
Almas F AbbasiDepartment of Radiology, Stony Brook University, Stony Brook, NY 11794, USA.
Perry J PickhardtDepartment of Radiology, School of Medicine, University of Wisconsin, Madison, WI 53792, USA.

Funding

(PQ6) Radiogenomics of colorectal polyps to assess benign proliferative vs. premalignant states.R01CA220004 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GRADY, WILLIAM MALLORY, HALBERG, RICHARD BROTT · 2017 to 2021
$3.2M
Advancing Virtual Colonoscopy for Early Cancer ScreeningR01CA206171 · NCI · STATE UNIVERSITY NEW YORK STONY BROOK · PI LIANG, JEROME Z · 2016 to 2020
$2.0M
NCI NIH HHS CA206171NCI NIH HHS CA220004NCI NIH HHS R01 CA220004
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Colonography, Computed TomographicArea Under CurveHumansNeural Networks, ComputerRetrospective StudiesSupport Vector Machinecolorectal cancercomputed tomographic colonographyconvolutional neural networkpolyp classificationrandom foresttexture features

Identifiers

PMID35161653
PMCPMC8840570

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.