Evidence map›Paper›PMID 39433648›Full record

ArticleEJNMMI reports2024

Simultaneous segmentation and classification of

Jiayi Wang, Mingyan Wu, Xiemei Ruan, Jiaying Zhang, Zhengguo Chen, Yihui Zhai, Hong Xu, Ha Wu, Jeff L Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EJNMMI reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Jiayi WangSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
Mingyan WuCentral Research Institute, UIH Group, Shanghai, China.
Xiemei RuanDepartment of Nuclear Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Jiaying ZhangSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
Zhengguo ChenNHC Key Laboratory of Nuclear Technology Medical Transformation, Mian Yang Central Hospital, Sichuan, China.
Yihui ZhaiDepartment of Nephrology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China.
Hong XuDepartment of Nephrology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China.
Ha WuDepartment of Nuclear Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China. wuhaemail@163.com.
Jeff L ZhangSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, China. zhanglei2@shanghaitech.edu.cn.ORCID http://orcid.org/0000-0002-3982-0255

Funding

National Key R&D Program of China 2021YFC2500202NHC Key Laboratory of Nuclear Technology Medical Transformation (MIAN YANG CENTRAL HOSPITAL) 2021HYX032
6 · The paper itself

Abstract

background

resultsIn the validation phase, the trained model provided segmentation masks with intersection over union (mask IoU, for segmentation accuracy) of 86.6%, and classifications with mean average precision at the bounding box IoU ≥ 50% (mAP

conclusionsMask R-CNN, designed to perform both segmentation and classification for images, showed much promise in analyzing

Indexed as

99mTc-DMSAAcute pyelonephritisDeep learningImage classificationImage segmentation

Identifiers

PMID39433648
PMCPMC11493894

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.