ReviewBioMed research international2021
Review of Breast Cancer Pathologigcal Image Processing.
Review in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 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
49 citing papers in PubMed.
- Potential Mechanism of Anti-tumor Effect of Trametes robiniophila Murr. (Huaier).Chinese journal of integrative medicine · 2026Review
- Engineering microspheres for breast cancer: integrating tumor modeling, diagnostics, and targeted treatment.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2026Review
- Biochemical alterations in endocrine and inflammatory pathways following breast cancer surgery: Laboratory evidence and clinical implications.Journal of medical biochemistry · 2026Article
- Photoacoustic imaging: An emerging tool for intraoperative margin assessment in breast-conserving surgery.Photoacoustics · 2026Review
- A multimodal imaging-based decision tree for preoperative axillary risk stratification in breast cancer: a retrospective clinical utility analysis.American journal of cancer research · 2026Article
- Efficacy of Mindfulness-based complementary alternative therapy on physical and mental stress, self-efficacy, and coping styles of patients undergoing breast cancer surgery.Pakistan journal of medical sciences · 2026Article
- Significant association of RANKL polymorphisms with bone metastasis among patients with breast cancer.Frontiers in oncology · 2026Article
- Deep learning in multi-modal breast cancer data fusion: a literature review.Quantitative imaging in medicine and surgery · 2025Review
- Identification of adipose-proximal biomarkers in breast cancer using weighted gene co-expression network analysis.Protoplasma · 2025Article
- LncRNA VIM-AS1 is a potential prognostic biomarker and effects on tumor cellular behaviors in breast cancer via impairing miR-29a-3p.Discover oncology · 2025Article
- Association between real-time shear wave elastography findings and HER-2 expression in breast cancer.Translational cancer research · 2025Article
- Lactate and lactylation in breast cancer: current understanding and therapeutic opportunities.Cancer biology & medicine · 2025Review
- Targeting TP53TG1: a promising prognostic biomarker and therapeutic target for personalized cancer therapy.Discover oncology · 2025Review
- Correlation between ultrasonic features and expression of immunohistochemical factors in invasive ductal carcinoma of the breast.Quantitative imaging in medicine and surgery · 2025Article
- CEBPA Restrains the Malignant Progression of Breast Cancer by Prompting the Transcription of SOCS2.Molecular biotechnology · 2025Article
- Identification of cell adhesion-related subtypes and construction of risk model to predict breast cancer prognostic and immunological properties.World journal of surgical oncology · 2025Article
- A New Co(II)-coordination Polymer: Fluorescence Performances, Loaded with Paclitaxel-hydrogel on Breast Cancer and Molecular Docking Study.Journal of fluorescence · 2025Article
- Reducing toxicity and enhancing efficacy of doxorubicin by liposomal doxorubicin and aprepitant in breast cancer.Scientific reports · 2025Article
- Clinical utility of quantitative ultrasonography parameters combined with serum cancer antigen 15‑3, human epidermal growth factor receptor 2 and soluble E‑cadherin in diagnosing mass‑type breast cancer.Oncology letters · 2025Article
- MT1JP: A Pivotal Tumor-Suppressing LncRNA and its Role in Cancer Progression and Therapeutic Potential.Current drug targets · 2025Review
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
Breast cancer is one of the most common malignancies. Pathological image processing of breast has become an important means for early diagnosis of breast cancer. Using medical image processing to assist doctors to detect potential breast cancer as early as possible has always been a hot topic in the field of medical image diagnosis. In this paper, a breast cancer recognition method based on image processing is systematically expounded from four aspects: breast cancer detection, image segmentation, image registration, and image fusion. The achievements and application scope of supervised learning, unsupervised learning, deep learning, CNN, and so on in breast cancer examination are expounded. The prospect of unsupervised learning and transfer learning for breast cancer diagnosis is prospected. Finally, the privacy protection of breast cancer patients is put forward.
Indexed as
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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.