A deep learning model to predict RNA-Seq expression of tumours from whole slide images
出版年份 2020 全文链接
标题
A deep learning model to predict RNA-Seq expression of tumours from whole slide images
作者
关键词
-
出版物
Nature Communications
Volume 11, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-08-03
DOI
10.1038/s41467-020-17678-4
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Predicting survival after hepatocellular carcinoma resection using deep‐learning on histological slides
- (2020) Charlie Saillard et al. HEPATOLOGY
- Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study
- (2020) Wouter Bulten et al. LANCET ONCOLOGY
- Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study
- (2019) Jakob Nikolas Kather et al. PLOS MEDICINE
- Cell-Type-Specific Gene Expression Profiling in Adult Mouse Brain Reveals Normal and Disease-State Signatures
- (2019) Nicolas Merienne et al. Cell Reports
- Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning
- (2019) Yair Rivenson et al. Nature Biomedical Engineering
- Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer
- (2019) Jakob Nikolas Kather et al. NATURE MEDICINE
- Targeting the Complement Pathway as a Therapeutic Strategy in Lung Cancer
- (2019) Emily K. Kleczko et al. Frontiers in Immunology
- Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas
- (2018) P. Chang et al. AMERICAN JOURNAL OF NEURORADIOLOGY
- Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer
- (2018) Jon Whitney et al. BMC CANCER
- Systematic exploration of cell morphological phenotypes associated with a transcriptomic query
- (2018) Isar Nassiri et al. NUCLEIC ACIDS RESEARCH
- Predicting cancer outcomes from histology and genomics using convolutional networks
- (2018) Pooya Mobadersany et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Genomics and emerging biomarkers for immunotherapy of colorectal cancer
- (2018) Jakob Nikolas Kather et al. SEMINARS IN CANCER BIOLOGY
- Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images
- (2018) Joel Saltz et al. Cell Reports
- Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
- (2018) Nicolas Coudray et al. NATURE MEDICINE
- A Practical Guide to Whole Slide Imaging: A White Paper From the Digital Pathology Association
- (2018) Mark D. Zarella et al. ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE
- First FDA Approval Agnostic of Cancer Site — When a Biomarker Defines the Indication
- (2017) Steven Lemery et al. NEW ENGLAND JOURNAL OF MEDICINE
- Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade
- (2017) Dung T. Le et al. SCIENCE
- A molecular portrait of microsatellite instability across multiple cancers
- (2017) Isidro Cortes-Ciriano et al. Nature Communications
- QuPath: Open source software for digital pathology image analysis
- (2017) Peter Bankhead et al. Scientific Reports
- Next-generation sequencing: advances and applications in cancer diagnosis
- (2016) Simona Serratì et al. OncoTargets and Therapy
- The prognostic landscape of genes and infiltrating immune cells across human cancers
- (2015) Andrew J Gentles et al. NATURE MEDICINE
- TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data
- (2015) Antonio Colaprico et al. NUCLEIC ACIDS RESEARCH
- The Tetraspanin CD53 Modulates Responses from Activating NK Cell Receptors, Promoting LFA-1 Activation and Dampening NK Cell Effector Functions
- (2014) Izabela Todros-Dawda et al. PLoS One
- Integrated Analysis of Transcriptomic and Proteomic Data
- (2013) Saad Haider et al. CURRENT GENOMICS
- CD19 and CD20 Targeted Vectors Induce Minimal Activation of Resting B Lymphocytes
- (2013) Sabrina Kneissl et al. PLoS One
- Molecular Link between Liver Fibrosis and Hepatocellular Carcinoma
- (2013) Toshiharu Sakurai et al. Liver Cancer
- SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
- (2012) R. Achanta et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Colorectal and Other Cancer Risks for Carriers and Noncarriers From Families With a DNA Mismatch Repair Gene Mutation: A Prospective Cohort Study
- (2012) Aung Ko Win et al. JOURNAL OF CLINICAL ONCOLOGY
- Hallmarks of Cancer: The Next Generation
- (2011) Douglas Hanahan et al. CELL
- Genomics and the Continuum of Cancer Care
- (2011) Ultan McDermott et al. NEW ENGLAND JOURNAL OF MEDICINE
- Microsatellite Instability in Colorectal Cancer
- (2010) C. Richard Boland et al. GASTROENTEROLOGY
- Differential expression analysis for sequence count data
- (2010) Simon Anders et al. GENOME BIOLOGY
- Is there a difference between T- and B-lymphocyte morphology?
- (2009) Dmitry I. Strokotov et al. JOURNAL OF BIOMEDICAL OPTICS
- The cancer genome
- (2009) Michael R. Stratton et al. NATURE
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