Evidence map›Paper›PMID 35935490›Full record

ArticleFrontiers in bioengineering and biotechnology2022

Construction of a Medical Micro-Object Cascade Network for Automated Segmentation of Cerebral Microbleeds in Susceptibility Weighted Imaging.

Zeliang Wei, Xicheng Chen, Jialu Huang, Zhenyan Wang, Tianhua Yao, Chengcheng Gao, Haojia Wang, Pengpeng Li, Wei Ye, Yang Li and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

17 authors.

Zeliang WeiDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
Xicheng ChenDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
Jialu HuangDepartment of Neurology, Southwest Hospital, Army Medical University, Chongqing, China.
Zhenyan WangDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
Tianhua YaoDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
Chengcheng GaoDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
Haojia WangDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
Pengpeng LiDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
Wei YeDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
Yang LiDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
Ning YaoDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
Rui ZhangDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
Ning TangDepartment of Medical Engineering, The 953 Hospital of the Chinese People's Liberation Army, Shigatse, China.
Fei WangMedical Big Data and Artificial Intelligence Center, Southwest Hospital, Army Medical University, Chongqing, China.
Jun HuDepartment of Neurology, Southwest Hospital, Army Medical University, Chongqing, China.
Dong YiDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
Yazhou WuDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

cerebral microbleeddeep learningimage segmentationmedical micro-objectsusceptibility weighted imaging

Identifiers

PMID35935490
PMCPMC9350526

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.