Relevance of deep learning to facilitate the diagnosis of HER2 status in breast cancer
出版年份 2017 全文链接
标题
Relevance of deep learning to facilitate the diagnosis of HER2 status in breast cancer
作者
关键词
-
出版物
Scientific Reports
Volume 7, Issue 1, Pages -
出版商
Springer Nature
发表日期
2017-04-05
DOI
10.1038/srep45938
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images
- (2016) Jun Xu et al. NEUROCOMPUTING
- Quantification of HER2 heterogeneity in breast cancer–implications for identification of sub-dominant clones for personalised treatment
- (2016) Niamh E. Buckley et al. Scientific Reports
- Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
- (2016) Geert Litjens et al. Scientific Reports
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Quantitative histology analysis of the ovarian tumour microenvironment
- (2015) Chunyan Lan et al. Scientific Reports
- Assessing the discordance rate between local and central HER2 testing in women with locally determined HER2-negative breast cancer
- (2014) Peter A. Kaufman et al. CANCER
- Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012
- (2014) Jacques Ferlay et al. INTERNATIONAL JOURNAL OF CANCER
- Pathologist Workforce in the United States: I. Development of a Predictive Model to Examine Factors Influencing Supply
- (2013) Stanley J. Robboy et al. ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE
- Recommendations for Human Epidermal Growth Factor Receptor 2 Testing in Breast Cancer: American Society of Clinical Oncology/College of American Pathologists Clinical Practice Guideline Update
- (2013) Antonio C. Wolff et al. ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE
- P1-07-02: Discordance between Central and Local Laboratory HER2 Testing from a Large HER2−Negative Population in VIRGO, a Metastatic Breast Cancer Registry.
- (2012) CL Vogel et al. CANCER RESEARCH
- Evaluating tumor heterogeneity in immunohistochemistry-stained breast cancer tissue
- (2012) Steven J Potts et al. LABORATORY INVESTIGATION
- Evaluation of immunohistochemical staining using whole-slide imaging for HER2 scoring of breast cancer in comparison with real glass slides
- (2012) Yuzuru Kondo et al. PATHOLOGY INTERNATIONAL
- Treatment of HER2-positive breast cancer: current status and future perspectives
- (2011) Carlos L. Arteaga et al. Nature Reviews Clinical Oncology
- Predictive biomarkers: a paradigm shift towards personalized cancer medicine
- (2011) Nicholas B. La Thangue et al. Nature Reviews Clinical Oncology
- Computer-aided Diagnosis: How to Move from the Laboratory to the Clinic
- (2011) Bram van Ginneken et al. RADIOLOGY
- The impact of inter-observer variation in pathological assessment of node-negative breast cancer on clinical risk assessment and patient selection for adjuvant systemic treatment
- (2009) J. M. Bueno-de-Mesquita et al. ANNALS OF ONCOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now