ArticleNPJ breast cancer2019
Application of convolutional neural networks to breast biopsies to delineate tissue correlates of mammographic breast density.
Article in NPJ breast cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Associations of local breast density with patient characteristics and risk of breast cancer among women undergoing diagnostic breast biopsy.Breast cancer research : BCR · 2026Article
- Effect of testosterone therapy on breast tissue composition and mammographic breast density in trans masculine individuals.Breast cancer research : BCR · 2024Article
- A BERT-GNN Approach for Metastatic Breast Cancer Prediction Using Histopathology Reports.Diagnostics (Basel, Switzerland) · 2024Article
- Article
- Biological insights and novel biomarker discovery through deep learning approaches in breast cancer histopathology.NPJ breast cancer · 2023Review
- Deep Learning Based Methods for Breast Cancer Diagnosis: A Systematic Review and Future Direction.Diagnostics (Basel, Switzerland) · 2023Review
- Connected-UNets: a deep learning architecture for breast mass segmentation.NPJ breast cancer · 2021Article
- Mammary collagen architecture and its association with mammographic density and lesion severity among women undergoing image-guided breast biopsy.Breast cancer research : BCR · 2021Article
- Dynamic Changes of Convolutional Neural Network-based Mammographic Breast Cancer Risk Score Among Women Undergoing Chemoprevention Treatment.Clinical breast cancer · 2021Article
- Application of convolutional neural networks to breast biopsies to delineate tissue correlates of mammographic breast density.NPJ breast cancer · 2019Article
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Authors and funding
23 authors.
Funding
Abstract
Breast density, a breast cancer risk factor, is a radiologic feature that reflects fibroglandular tissue content relative to breast area or volume. Its histology is incompletely characterized. Here we use deep learning approaches to identify histologic correlates in radiologically-guided biopsies that may underlie breast density and distinguish cancer among women with elevated and low density. We evaluated hematoxylin and eosin (H&E)-stained digitized images from image-guided breast biopsies (
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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.