ArticleFrontiers in genetics2022
Breast cancer detection: Shallow convolutional neural network against deep convolutional neural networks based approach.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial Intelligence Pipeline for Mammography-Based Breast Cancer Detection: An Integrated Systematic Review and Large-Scale Experimental Validation.Medicina (Kaunas, Lithuania) · 2025Pooled it
- CNN Sample-Size Effects Across Biomedical Datasets: A Reliability Pattern in Overfitting, Ranking, and Monotonicity.Bioengineering (Basel, Switzerland) · 2026Article
- Fusion of genomic and pathological data for breast cancer detection using BCDNN.Frontiers in medicine · 2026Article
- Deep learning-based bacterial foraging optimization algorithm to improve digital mammography-based breast cancer detection.Scientific reports · 2025Article
- Article
- Extracting Knowledge from Machine Learning Models to Diagnose Breast Cancer.Life (Basel, Switzerland) · 2025Article
- Optimizing breast cancer ultrasound diagnosis: a comparative study of AI model performance and image resolution.Frontiers in oncology · 2025Article
- Segmentation for mammography classification utilizing deep convolutional neural network.BMC medical imaging · 2024Article
- Article
- Machine learning and new insights for breast cancer diagnosis.The Journal of international medical research · 2024Review
- Deep learning empowered breast cancer diagnosis: Advancements in detection and classification.PloS one · 2024Article
- A novel fusion framework of deep bottleneck residual convolutional neural network for breast cancer classification from mammogram images.Frontiers in oncology · 2024Article
- Predicting early breast cancer recurrence from histopathological images in the Carolina Breast Cancer Study.NPJ breast cancer · 2023Article
- Deep learning performance for detection and classification of microcalcifications on mammography.European radiology experimental · 2023Article
- DVF-YOLO-Seg: A two-stage breast mass segmentation model with enhanced feature extraction and small lesion detection.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 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.