ArticleProceedings. IEEE International Symposium on Biomedical Imaging2017
DEEP LEARNING-BASED ASSESSMENT OF TUMOR-ASSOCIATED STROMA FOR DIAGNOSING BREAST CANCER IN HISTOPATHOLOGY IMAGES.
Article in Proceedings. IEEE International Symposium on Biomedical Imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Artificial intelligence in digital pathology diagnosis and analysis: technologies, challenges, and future prospects.Military Medical Research · 2026Review
- Detection of Architectural Dysplastic Features from Histopathological Imagery of Oral Mucosa Using Neural Networks.Bioengineering (Basel, Switzerland) · 2025Article
- Geometric characteristics of stromal collagen fibres in breast cancer using differential interference contrast microscopy.Journal of microscopy · 2025Article
- Hard Negative Sample Mining for Whole Slide Image Classification.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2024Article
- Review
- CNN-based deep learning approach for classification of invasive ductal and metastasis types of breast carcinoma.Cancer medicine · 2024Article
- Biological insights and novel biomarker discovery through deep learning approaches in breast cancer histopathology.NPJ breast cancer · 2023Review
- Article
- Machine-Learning-Based Evaluation of Intratumoral Heterogeneity and Tumor-Stroma Interface for Clinical Guidance.The American journal of pathology · 2021Review
- Multi-magnification-based machine learning as an ancillary tool for the pathologic assessment of shaved margins for breast carcinoma lumpectomy specimens.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2021Article
- Review
- Deep Learning Image Analysis of Benign Breast Disease to Identify Subsequent Risk of Breast Cancer.JNCI cancer spectrum · 2021Article
- Developing image analysis pipelines of whole-slide images: Pre- and post-processing.Journal of clinical and translational science · 2020Review
- Tabu Search and Machine-Learning Classification of Benign and Malignant Proliferative Breast Lesions.BioMed research international · 2020Review
- Proliferation Tumour Marker Network (PTM-NET) for the identification of tumour region in Ki67 stained breast cancer whole slide images.Scientific reports · 2019Article
- Deep learning with multimodal representation for pancancer prognosis prediction.Bioinformatics (Oxford, England) · 2019Article
- Assessment of Machine Learning Detection of Environmental Enteropathy and Celiac Disease in Children.JAMA network open · 2019Article
- Development of a cytology-based multivariate analytical risk index for oral cancer.Oral oncology · 2019Article
- Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer.NPJ digital medicine · 2019Article
- Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2018Article
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Authors and funding
9 authors.
Funding
Abstract
Diagnosis of breast carcinomas has so far been limited to the morphological interpretation of epithelial cells and the assessment of epithelial tissue architecture. Consequently, most of the automated systems have focused on characterizing the epithelial regions of the breast to detect cancer. In this paper, we propose a system for classification of hematoxylin and eosin (H&E) stained breast specimens based on convolutional neural networks that primarily targets the assessment of tumor-associated stroma to diagnose breast cancer patients. We evaluate the performance of our proposed system using a large cohort containing 646 breast tissue biopsies. Our evaluations show that the proposed system achieves an area under ROC of 0.92, demonstrating the discriminative power of previously neglected tumor associated stroma as a diagnostic biomarker.
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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.