Evidence map›Paper›PMID 41477003›Full record

ArticleFrontiers in cellular and infection microbiology2025

CsDETC: detection and counting of small target

Yanhui Chen, Yiwen Luo, Zan Yang, Longhua Hu, Qiaoshi Zhong, Tianle Sheng

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PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

6 authors.

Yanhui ChenJiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Yiwen LuoSchool of Advanced Manufacturing, Nanchang University, Nanchang, China.
Zan YangSchool of Advanced Manufacturing, Nanchang University, Nanchang, China.
Longhua HuJiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Qiaoshi ZhongJiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Tianle ShengJiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Method: We propose a small target Results: The experimental results on private dataset show that CsDETC outperforms other advanced object detection models with excellent performance such as YOLOv10 and YOLO11, etc. Typically, compared to the baseline, CsDETC shows significant improvements in mAP50 (93.6% vs. 91.3%), APs (51.0% vs. 49.5%), and MAE (1.865 vs. 2.370), while only a 0.7 millisecond increase in the inference time. Discussion: CsDETC is a promising tool that has performed well in preliminary validation. After validation with larger and more diverse datasets from different medical centers in the future, CsDETC can help doctors accurately and timely identify

Indexed as

CryptococcosisCryptococcusMeningitis, CryptococcalCerebrospinal FluidHumansattention-enhanced path aggregation networkcountingCryptococcus spp. detectiondiagnostic efficiencyhypergraph computation

Identifiers

PMID41477003
PMCPMC12748224

What Socratic holds

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Registered trials

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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 Socratic graph.