Data-efficient and weakly supervised computational pathology on whole-slide images
Deep-learning methods for computational pathology require either manual annotation of
gigapixel whole-slide images (WSIs) or large datasets of WSIs with slide-level labels and …
gigapixel whole-slide images (WSIs) or large datasets of WSIs with slide-level labels and …
Data-efficient and weakly supervised computational pathology on whole-slide images
MY Lu, WD FK, TY Chen, RJ Chen… - Nature Biomedical …, 2021 - search.proquest.com
Deep-learning methods for computational pathology require either manual annotation of
gigapixel whole-slide images (WSIs) or large datasets of WSIs with slide-level labels and …
gigapixel whole-slide images (WSIs) or large datasets of WSIs with slide-level labels and …
[PDF][PDF] Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images
MY Lu, DFK Williamson, TY Chen, RJ Chen… - arXiv preprint arXiv …, 2020 - academia.edu
The rapidly emerging field of computational pathology has the potential to enable objective
diagnosis, therapeutic response prediction and identification of new morphological features …
diagnosis, therapeutic response prediction and identification of new morphological features …
Data-efficient and weakly supervised computational pathology on whole-slide images
MY Lu, DFK Williamson, TY Chen… - Nature biomedical …, 2021 - pubmed.ncbi.nlm.nih.gov
Deep-learning methods for computational pathology require either manual annotation of
gigapixel whole-slide images (WSIs) or large datasets of WSIs with slide-level labels and …
gigapixel whole-slide images (WSIs) or large datasets of WSIs with slide-level labels and …
[HTML][HTML] Data-efficient and weakly supervised computational pathology on whole-slide images
MY Lu, DFK Williamson, TY Chen… - Nature biomedical …, 2021 - ncbi.nlm.nih.gov
Deep-learning methods for computational pathology require either manual annotation of
gigapixel whole-slide images (WSIs) or large datasets of WSIs with slide-level labels and …
gigapixel whole-slide images (WSIs) or large datasets of WSIs with slide-level labels and …
Data-efficient and weakly supervised computational pathology on whole-slide images
M Lu, D Williamson, TY Chen, RJ Chen… - Nat Biomed …, 2021 - dash.harvard.edu
Deep-learning methods for computational pathology typically suffer from poor domain
adaptation, interpretability or visualization, and require either manual annotation of gigapixel …
adaptation, interpretability or visualization, and require either manual annotation of gigapixel …
Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images
MY Lu, DFK Williamson, TY Chen, RJ Chen… - arXiv e …, 2020 - ui.adsabs.harvard.edu
The rapidly emerging field of computational pathology has the potential to enable objective
diagnosis, therapeutic response prediction and identification of new morphological features …
diagnosis, therapeutic response prediction and identification of new morphological features …
Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images
MY Lu, DFK Williamson, TY Chen, RJ Chen… - arXiv preprint arXiv …, 2020 - arxiv.org
The rapidly emerging field of computational pathology has the potential to enable objective
diagnosis, therapeutic response prediction and identification of new morphological features …
diagnosis, therapeutic response prediction and identification of new morphological features …
Data-efficient and weakly supervised computational pathology on whole-slide images.
MY Lu, DFK Williamson, TY Chen, RJ Chen… - Nature Biomedical …, 2021 - europepmc.org
Deep-learning methods for computational pathology require either manual annotation of
gigapixel whole-slide images (WSIs) or large datasets of WSIs with slide-level labels and …
gigapixel whole-slide images (WSIs) or large datasets of WSIs with slide-level labels and …