ArticleJournal of medical imaging (Bellingham, Wash.)2017
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images.
Article in Journal of medical imaging (Bellingham, Wash.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
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Who cites it
55 citing papers in PubMed.
- Artificial intelligence-based quantification of epidermal proliferation and apoptosis in human skin.JID innovations : skin science from molecules to population health · 2026Article
- How artificial intelligence applied to digital pathology could guide treatment personalization in breast cancer.ESMO real world data and digital oncology · 2026Review
- Pediatric Inflammatory Bowel Disease Tissue Classification From Pathology Slide Images: Detecting Phenotypes Using Computer Vision.Gastro hep advances · 2026Article
- Artificial Intelligence as an Assistive Tool in Breast Cancer Screening and Diagnosis in the Digital Era.International journal of breast cancer · 2026Article
- Detection of Architectural Dysplastic Features from Histopathological Imagery of Oral Mucosa Using Neural Networks.Bioengineering (Basel, Switzerland) · 2025Article
- Artificial intelligence in breast cancer diagnosis: A systematic literature review.Cambridge prisms. Precision medicine · 2025Review
- Artificial Intelligence in Medicine and Imaging Applications.Current pharmaceutical design · 2025Review
- Computational pathology: A survey review and the way forward.Journal of pathology informatics · 2024Review
- Article
- Computer-Aided Discrimination of Glaucoma Patients from Healthy Subjects Using the RETeval Portable Device.Diagnostics (Basel, Switzerland) · 2024Article
- Article
- Histopathological Image Diagnosis for Breast Cancer Diagnosis Based on Deep Mutual Learning.Diagnostics (Basel, Switzerland) · 2023Article
- Immunohistochemical Stain-Aided Annotation Accelerates Machine Learning and Deep Learning Model Development in the Pathologic Diagnosis of Nasopharyngeal Carcinoma.Diagnostics (Basel, Switzerland) · 2023Article
- Deep learning diagnostic performance and visual insights in differentiating benign and malignant thyroid nodules on ultrasound images.Experimental biology and medicine (Maywood, N.J.) · 2023Article
- Artificial Intelligence in Histologic Diagnosis of Ductal Carcinoma In Situ.Mayo Clinic proceedings. Digital health · 2023Review
- Histopathological Images Analysis and Predictive Modeling Implemented in Digital Pathology-Current Affairs and Perspectives.Diagnostics (Basel, Switzerland) · 2023Review
- Article
- Immunohistochemical HER2 Recognition and Analysis of Breast Cancer Based on Deep Learning.Diagnostics (Basel, Switzerland) · 2023Article
- Review
- The Role of Deep Learning in Advancing Breast Cancer Detection Using Different Imaging Modalities: A Systematic Review.Cancers · 2022Review
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Currently, histopathological tissue examination by a pathologist represents the gold standard for breast lesion diagnostics. Automated classification of histopathological whole-slide images (WSIs) is challenging owing to the wide range of appearances of benign lesions and the visual similarity of ductal carcinoma
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Registered trials
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