ReviewJournal of pathology informatics2016
Computer-based image analysis in breast pathology.
Review in Journal of pathology informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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
14 citing papers in PubMed.
- Article
- Higher density of compact B cell clusters in invasive front may contribute to better prognosis in pancreatic ductal adenocarcinoma.Discover oncology · 2025Article
- An artificial intelligence model for early-stage breast cancer classification from histopathological biopsy images.Frontiers in artificial intelligence · 2025Article
- Revolutionizing Pathology with Artificial Intelligence: Innovations in Immunohistochemistry.Journal of personalized medicine · 2024Review
- Augmented interpretation of HER2, ER, and PR in breast cancer by artificial intelligence analyzer: enhancing interobserver agreement through a reader study of 201 cases.Breast cancer research : BCR · 2024Article
- Semi-automated analysis of HER2 immunohistochemistry in invasive breast carcinoma using whole slide images: utility for interpretation in clinical practice.Pathology oncology research : POR · 2024Article
- An interpretable decision-support model for breast cancer diagnosis using histopathology images.Journal of pathology informatics · 2023Article
- Using Digital Pathology to Understand Epithelial Characteristics of Benign Breast Disease among Women Undergoing Diagnostic Image-Guided Breast Biopsy.Cancer prevention research (Philadelphia, Pa.) · 2019Observational
- Computer-Assisted Nuclear Atypia Scoring of Breast Cancer: a Preliminary Study.Journal of digital imaging · 2019Article
- A deep learning algorithm for one-step contour aware nuclei segmentation of histopathology images.Medical & biological engineering & computing · 2019Article
- Analysis of Image Feature Characteristics for Automated Scoring of HER2 in Histology Slides.Journal of imaging · 2019Article
- Quantitative Characterization of CD8+ T Cell Clustering and Spatial Heterogeneity in Solid Tumors.Frontiers in oncology · 2018Article
- Automatic cellularity assessment from post-treated breast surgical specimens.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2017Article
- Determining Image Processing Features Describing the Appearance of Challenging Mitotic Figures and Miscounted Nonmitotic Objects.Journal of pathology informatics · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Whole slide imaging (WSI) has the potential to be utilized in telepathology, teleconsultation, quality assurance, clinical education, and digital image analysis to aid pathologists. In this paper, the potential added benefits of computer-assisted image analysis in breast pathology are reviewed and discussed. One of the major advantages of WSI systems is the possibility of doing computer-based image analysis on the digital slides. The purpose of computer-assisted analysis of breast virtual slides can be (i) segmentation of desired regions or objects such as diagnostically relevant areas, epithelial nuclei, lymphocyte cells, tubules, and mitotic figures, (ii) classification of breast slides based on breast cancer (BCa) grades, the invasive potential of tumors, or cancer subtypes, (iii) prognosis of BCa, or (iv) immunohistochemical quantification. While encouraging results have been achieved in this area, further progress is still required to make computer-based image analysis of breast virtual slides acceptable for clinical practice.
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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.