ArticlePattern recognition2017
Multi-feature based Benchmark for Cervical Dysplasia Classification Evaluation.
Article in Pattern recognition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed.
- MMTC-Net: Multimodal Temporal Cervical Network for HSIL+ Recognition in Precancer Screening.Journal of imaging informatics in medicine · 2026Article
- AID-FGS: Artificial intelligence-enabled diagnosis of female genital schistosomiasis: Preliminary findings.PLOS digital health · 2026Article
- Integrating artificial intelligence with smartphone-based imaging for cancer detection in vivo.Biosensors & bioelectronics · 2025Review
- A Dual-Branch Residual Network with Attention Mechanisms for Enhanced Classification of Vaginal Lesions in Colposcopic Images.Bioengineering (Basel, Switzerland) · 2024Article
- A lightweight xAI approach to cervical cancer classification.Medical & biological engineering & computing · 2024Article
- Deep feature extraction and fine κ-nearest neighbour for enhanced human papillomavirus detection in cervical cancer - a comprehensive analysis of colposcopy images.Contemporary oncology (Poznan, Poland) · 2024Article
- A Review of Computer-Aided Diagnostic Algorithms for Cervical Neoplasia and an Assessment of Their Applicability to Female Genital Schistosomiasis.Mayo Clinic proceedings. Digital health · 2023Review
- Artificial Intelligence-Based Cervical Cancer Screening on Images Taken during Visual Inspection with Acetic Acid: A Systematic Review.Diagnostics (Basel, Switzerland) · 2023Review
- Cervical Transformation Zone Segmentation and Classification based on Improved Inception-ResNet-V2 Using Colposcopy Images.Cancer informatics · 2023Article
- An emerging paradigms on cervical cancer screening methods and devices for clinical trails.Frontiers in public health · 2022Article
- Multicontrast Pocket Colposcopy Cervical Cancer Diagnostic Algorithm for Referral Populations.BME frontiers · 2022Article
- Applying a deep convolutional neural network to monitor the lateral spread response during microvascular surgery for hemifacial spasm.PloS one · 2022Article
- Computer-aided diagnosis of cervical dysplasia using colposcopic images.Frontiers in oncology · 2022Article
- Cervical Lesion Classification Method Based on Cross-Validation Decision Fusion Method of Vision Transformer and DenseNet.Journal of healthcare engineering · 2022Article
- Deep Metric Learning for Cervical Image Classification.IEEE access : practical innovations, open solutions · 2021Article
- Diagnosis of Cervical Cancer based on Ensemble Deep Learning Network using Colposcopy Images.BioMed research international · 2021Article
- A demonstration of automated visual evaluation of cervical images taken with a smartphone camera.International journal of cancer · 2020Article
- The artificial intelligence-assisted cytology diagnostic system in large-scale cervical cancer screening: A population-based cohort study of 0.7 million women.Cancer medicine · 2020Article
- An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening.Journal of the National Cancer Institute · 2019Observational
- Multifeature Quantification of Nuclear Properties from Images of H&E-Stained Biopsy Material for Investigating Changes in Nuclear Structure with Advancing CIN Grade.Journal of healthcare engineering · 2018Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Cervical cancer is one of the most common types of cancer in women worldwide. Most deaths due to the disease occur in less developed areas of the world. In this work, we introduce a new image dataset along with expert annotated diagnoses for evaluating image-based cervical disease classification algorithms. A large number of Cervigram
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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.