DSCA: A dual-stream network with cross-attention on whole-slide image pyramids for cancer prognosis
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
DSCA: A dual-stream network with cross-attention on whole-slide image pyramids for cancer prognosis
Authors
Keywords
-
Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 227, Issue -, Pages 120280
Publisher
Elsevier BV
Online
2023-04-29
DOI
10.1016/j.eswa.2023.120280
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- EOCSA: Predicting prognosis of Epithelial ovarian cancer with whole slide histopathological images
- (2022) Tianling Liu et al. EXPERT SYSTEMS WITH APPLICATIONS
- Data-efficient and weakly supervised computational pathology on whole-slide images
- (2021) Ming Y. Lu et al. Nature Biomedical Engineering
- DeepBatch: A hybrid deep learning model for interpretable diagnosis of breast cancer in whole-slide images
- (2021) Felipe André Zeiser et al. EXPERT SYSTEMS WITH APPLICATIONS
- Weakly Supervised Deep Ordinal Cox Model for Survival Prediction From Whole-Slide Pathological Images
- (2021) Wei Shao et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Hierarchical graph representations in digital pathology
- (2021) Pushpak Pati et al. MEDICAL IMAGE ANALYSIS
- Deep learning for prediction of colorectal cancer outcome: a discovery and validation study
- (2020) Ole-Johan Skrede et al. LANCET
- Classification of Non-Small Cell Lung Cancer using One-Dimensional Convolutional Neural Network
- (2020) Dipanjan Moitra et al. EXPERT SYSTEMS WITH APPLICATIONS
- Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks
- (2020) Jiawen Yao et al. MEDICAL IMAGE ANALYSIS
- Optimizing Survival Analysis of XGBoost for Ties to Predict Disease Progression of Breast Cancer
- (2020) Pei Liu et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review
- (2020) Essam H. Houssein et al. EXPERT SYSTEMS WITH APPLICATIONS
- Bias in Cross-Entropy-Based Training of Deep Survival Networks
- (2020) Shekoufeh Gorgi Zadeh et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis
- (2019) Wei Shao et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Multiple instance learning: A survey of problem characteristics and applications
- (2018) Marc-André Carbonneau et al. PATTERN RECOGNITION
- Revisiting multiple instance neural networks
- (2018) Xinggang Wang et al. PATTERN RECOGNITION
- 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
- Predicting Invasive Disease-Free Survival for Early Stage Breast Cancer Patients Using Follow-Up Clinical Data
- (2018) Bo Fu et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- QuPath: Open source software for digital pathology image analysis
- (2017) Peter Bankhead et al. Scientific Reports
- Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features
- (2016) Kun-Hsing Yu et al. Nature Communications
- Toward understanding and exploiting tumor heterogeneity
- (2015) Ash A Alizadeh et al. NATURE MEDICINE
- Mutational landscape and significance across 12 major cancer types
- (2013) Cyriac Kandoth et al. NATURE
- The Role of Tumor Stroma in Cancer Progression and Prognosis: Emphasis on Carcinoma-Associated Fibroblasts and Non-small Cell Lung Cancer
- (2010) Roy M. Bremnes et al. Journal of Thoracic Oncology
- The National Lung Screening Trial: Overview and Study Design
- (2010) RADIOLOGY
- Cancer Survivors and Unemployment
- (2009) Angela G. E. M. de Boer et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
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