ArticleTheScientificWorldJournal2014
Intelligent screening systems for cervical cancer.
Article in TheScientificWorldJournal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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.
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Who cites it
8 citing papers in PubMed.
- Artificial intelligence-based magnetic resonance imaging for preoperative staging of patients with endometrial cancer: a systematic review and meta-analysis.Frontiers in oncology · 2025Article
- Advancement in Deep Learning Methods for Diagnosis and Prognosis of Cervical Cancer.Current genomics · 2022Review
- Convolutional neural networks in medical image understanding: a survey.Evolutionary intelligence · 2022Review
- Using Dynamic Features for Automatic Cervical Precancer Detection.Diagnostics (Basel, Switzerland) · 2021Article
- A Review of Computational Methods for Cervical Cells Segmentation and Abnormality Classification.International journal of molecular sciences · 2019Review
- Assessment of knowledge, attitudes, and behaviors regarding breast and cervical cancer among women in western Turkey.The Journal of international medical research · 2019Article
- Multi-feature based Benchmark for Cervical Dysplasia Classification Evaluation.Pattern recognition · 2017Article
- Lifetime Distributions from Tracking Individual BC3H1 Cells Subjected to Yessotoxin.Frontiers in bioengineering and biotechnology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advent of medical image digitalization leads to image processing and computer-aided diagnosis systems in numerous clinical applications. These technologies could be used to automatically diagnose patient or serve as second opinion to pathologists. This paper briefly reviews cervical screening techniques, advantages, and disadvantages. The digital data of the screening techniques are used as data for the computer screening system as replaced in the expert analysis. Four stages of the computer system are enhancement, features extraction, feature selection, and classification reviewed in detail. The computer system based on cytology data and electromagnetic spectra data achieved better accuracy than other data.
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Registered trials
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.