ArticlePhysics in medicine and biology2022
Improving mammography lesion classification by optimal fusion of handcrafted and deep transfer learning features.
Article in Physics in medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- DriverNet: A Clinical and MRI-Based Framework for Noninvasive Pre-Treatment Molecular Triage in NSCLC Brain Metastases.Diagnostics (Basel, Switzerland) · 2026Article
- Utilizing Pseudo Color Image to Improve the Performance of Deep Transfer Learning-Based Computer-Aided Diagnosis Schemes in Breast Mass Classification.Journal of imaging informatics in medicine · 2025Article
- Leveraging paired mammogram views with deep learning for comprehensive breast cancer detection.Scientific reports · 2025Article
- A multi-stage fusion framework to classify breast lesions using deep learning and radiomics features computed from four-view mammograms.Medical physics · 2023Article
- Artificial Intelligence Applied to Contrast-enhanced Mammography: Exploring Uncharted Territory.Radiology · 2023Article
- Ischemic stroke subtyping method combining convolutional neural network and radiomics.Journal of X-ray science and technology · 2023Article
- Review
- Improving Performance of Breast Lesion Classification Using a ResNet50 Model Optimized with a Novel Attention Mechanism.Tomography (Ann Arbor, Mich.) · 2022Article
- Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms.Diagnostics (Basel, Switzerland) · 2022Article
- A Comparison of Computer-Aided Diagnosis Schemes Optimized Using Radiomics and Deep Transfer Learning Methods.Bioengineering (Basel, Switzerland) · 2022Article
- Applying artificial intelligence technology to assist with breast cancer diagnosis and prognosis prediction.Frontiers in oncology · 2022Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
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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.