ArticleDiagnostics (Basel, Switzerland)2024
Early Cervical Cancer Diagnosis with SWIN-Transformer and Convolutional Neural Networks.
Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Machine learning-based prediction of E. coli infection in hospitalized patients using a no-code analytical framework.Scientific reports · 2026Article
- MMTC-Net: Multimodal Temporal Cervical Network for HSIL+ Recognition in Precancer Screening.Journal of imaging informatics in medicine · 2026Article
- Unveiling the non-linear synergistic effects of smoking and aging on cataract-AMD comorbidity: an explainable artificial intelligence approach.Frontiers in public health · 2026Article
- Integrating domain-specific convolutional features with Swin Transformers for transparent cervical cancer diagnostics.Frontiers in oncology · 2026Article
- A multimodal scanning electron microscopy-atomic force microscopy images for early cervical cancer detection using discrete wavelet transform-derived features and divergence-based classification.Revista da Associacao Medica Brasileira (1992) · 2026Article
- Leveraging swin transformer with ensemble of deep learning model for cervical cancer screening using colposcopy images.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
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.