ArticleInternational journal of biomedical imaging2009
Modern breast cancer detection: a technological review.
Article in International journal of biomedical imaging, 2009. 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.
- Thermal imaging as a tool for evaluating tumor treatment efficacy.Journal of biomedical optics · 2018Trial
- MassSeg-Framework: A Breast Mass Detection and Segmentation Framework Based on Deep Learning and an Active Contour Model.Life (Basel, Switzerland) · 2026Article
- Explainable AI-enabled hybrid deep learning architecture for breast cancer detection.Frontiers in immunology · 2025Article
- A novel textile-based UWB patch antenna for breast cancer imaging.Physical and engineering sciences in medicine · 2024Article
- Canine Cancer Diagnostics by X-ray Diffraction of Claws.Cancers · 2024Article
- CSPG4 as a target for the specific killing of triple-negative breast cancer cells by a recombinant SNAP-tag-based antibody-auristatin F drug conjugate.Journal of cancer research and clinical oncology · 2023Article
- Detection and Classification of Histopathological Breast Images Using a Fusion of CNN Frameworks.Diagnostics (Basel, Switzerland) · 2023Article
- Nontoxic Fluorescent Nanoprobes for Multiplexed Detection and 3D Imaging of Tumor Markers in Breast Cancer.Pharmaceutics · 2023Review
- High-Frequency Excitation and Surface Temperature Analysis of Breast Tissue for Detection of Anomaly.BioMed research international · 2023Article
- Microwave Imaging for Early Breast Cancer Detection: Current State, Challenges, and Future Directions.Journal of imaging · 2022Review
- A Novel Hybrid Deep Learning Model for Metastatic Cancer Detection.Computational intelligence and neuroscience · 2022Article
- Automatic breast tissue segmentation in MRIs with morphology snake and deep denoiser training via extended Stein's unbiased risk estimator.Health information science and systems · 2021Article
- Applications of Computational Methods in Biomedical Breast Cancer Imaging Diagnostics: A Review.Journal of imaging · 2020Review
- Recent advances in aptamer-based sensors for breast cancer diagnosis: special cases for nanomaterial-based VEGF, HER2, and MUC1 aptasensors.Mikrochimica acta · 2020Review
- MicroRNA-155 complementation on a chemically functionalized dual electrode surface for determining breast cancer.3 Biotech · 2020Article
- Positron Emission Mammography (PEM) in the diagnosis of breast cancer: A systematic review and economic evaluation.Medical journal of the Islamic Republic of Iran · 2020Review
- Using Convolutional Neural Network with Cheat Sheet and Data Augmentation to Detect Breast Cancer in Mammograms.Computational and mathematical methods in medicine · 2020Article
- Cancer Detection Based on Electrical Impedance Spectroscopy: A Clinical Study.Journal of electrical bioimpedance · 2018Article
- Quantitative assessment of soft tissue deformation using digital speckle pattern interferometry: studies on phantom breast models.Journal of medical imaging (Bellingham, Wash.) · 2017Article
- Fourier rebinning and consistency equations for time-of-flight PET planograms.Inverse problems · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer is a serious threat worldwide and is the number two killer of women in the United States. The key to successful management is screening and early detection. What follows is a description of the state of the art in screening and detection for breast cancer as well as a discussion of new and emerging technologies. This paper aims to serve as a starting point for those who are not acquainted with this growing field.
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.