Prediction of BAP1 Expression in Uveal Melanoma Using Densely-Connected Deep Classification Networks
出版年份 2019 全文链接
标题
Prediction of BAP1 Expression in Uveal Melanoma Using Densely-Connected Deep Classification Networks
作者
关键词
-
出版物
Cancers
Volume 11, Issue 10, Pages 1579
出版商
MDPI AG
发表日期
2019-10-17
DOI
10.3390/cancers11101579
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。- Predicting EGFR Mutation Status in Lung Adenocarcinoma on CT Image Using Deep Learning
- (2019) Shuo Wang et al. EUROPEAN RESPIRATORY JOURNAL
- Immunoexpression of SPANX-C in metastatic uveal melanoma
- (2019) Lucia Salvatorelli et al. PATHOLOGY RESEARCH AND PRACTICE
- Digital Image Analysis of BAP-1 Accurately Predicts Uveal Melanoma Metastasis
- (2019) Gustav Stålhammar et al. Translational Vision Science & Technology
- Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
- (2019) Gabriele Campanella et al. NATURE MEDICINE
- Digital image analysis of Ki67 in hot spots is superior to both manual Ki67 and mitotic counts in breast cancer
- (2018) Gustav Stålhammar et al. HISTOPATHOLOGY
- Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
- (2018) Freddie Bray et al. CA-A CANCER JOURNAL FOR CLINICIANS
- Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
- (2018) Nicolas Coudray et al. NATURE MEDICINE
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- Dermatologist-level classification of skin cancer with deep neural networks
- (2017) Andre Esteva et al. NATURE
- Automated Identification of Diabetic Retinopathy Using Deep Learning
- (2017) Rishab Gargeya et al. OPHTHALMOLOGY
- Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation
- (2017) Lei Bi et al. VISUAL COMPUTER
- Towards automatic pulmonary nodule management in lung cancer screening with deep learning
- (2017) Francesco Ciompi et al. Scientific Reports
- Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks
- (2016) Arnaud Arindra Adiyoso Setio et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- ADAM 10 expression in primary uveal melanoma as prognostic factor for risk of metastasis
- (2016) Rosario Caltabiano et al. PATHOLOGY RESEARCH AND PRACTICE
- CT Features Associated with Epidermal Growth Factor Receptor Mutation Status in Patients with Lung Adenocarcinoma
- (2016) Ying Liu et al. RADIOLOGY
- Clinical significance of immunohistochemistry for detection of BAP1 mutations in uveal melanoma
- (2014) Anna E Koopmans et al. MODERN PATHOLOGY
- Genetic and clinico-pathologic analysis of metastatic uveal melanoma
- (2013) Klaus G Griewank et al. MODERN PATHOLOGY
- Collaborative Ocular Oncology Group Report Number 1: Prospective Validation of a Multi-Gene Prognostic Assay in Uveal Melanoma
- (2012) Michael D. Onken et al. OPHTHALMOLOGY
- Tumours associated with BAP1 mutations
- (2012) Rajmohan Murali et al. PATHOLOGY
- LIBSVM
- (2012) Chih-Chung Chang et al. ACM Transactions on Intelligent Systems and Technology
- Nomogram to predict the presence of EGFR activating mutation in lung adenocarcinoma
- (2011) N. Girard et al. EUROPEAN RESPIRATORY JOURNAL
- Frequent Mutation of BAP1 in Metastasizing Uveal Melanomas
- (2010) J. W. Harbour et al. SCIENCE
- Survival in Patients With Uveal Melanoma in Europe
- (2008) Gianni Virgili ARCHIVES OF OPHTHALMOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search