Evidence map›Paper›PMID 38002210›Full record

ArticleFoods (Basel, Switzerland)2023

The Identification of

Huiqiang Hu, Zhenyu Xu, Yunpeng Wei, Tingting Wang, Yuping Zhao, Huaxing Xu, Xiaobo Mao, Luqi Huang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Huiqiang HuSchool of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China.
Zhenyu XuSchool of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China.
Yunpeng WeiSchool of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China.
Tingting WangSchool of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China.
Yuping ZhaoChina Academy of Chinese Medical Sciences, Beijing 100070, China.
Huaxing XuSchool of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0002-5595-9935
Xiaobo MaoSchool of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China.
Luqi HuangChina Academy of Chinese Medical Sciences, Beijing 100070, China.

Funding

The Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine ZYYCXTD-D-202205This work was supported by the Key Project at Central Government Level 2060302-2101-26
6 · The paper itself

Abstract

Combining deep learning and hyperspectral imaging (HSI) has proven to be an effective approach in the quality control of medicinal and edible plants. Nonetheless, hyperspectral data contains redundant information and highly correlated characteristic bands, which can adversely impact sample identification. To address this issue, we proposed an enhanced one-dimensional convolutional neural network (1DCNN) with an attention mechanism. Given an intermediate feature map, two attention modules are constructed along two separate dimensions, channel and spectral, and then combined to enhance relevant features and to suppress irrelevant ones. Validated by

Indexed as

attention mechanismFritillaria identificationhyperspectral imagingmedicinal and edible plantsone-dimensional convolutional neural network

Identifiers

PMID38002210
PMCPMC10670081

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.