Rethinking semi-supervised medical image segmentation: A variance-reduction perspective
For medical image segmentation, contrastive learning is the dominant practice to improve
the quality of visual representations by contrasting semantically similar and dissimilar pairs …
the quality of visual representations by contrasting semantically similar and dissimilar pairs …
Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology
The histopathological phenotype of tumors reflects the underlying genetic makeup. Deep
learning can predict genetic alterations from pathology slides, but it is unclear how well …
learning can predict genetic alterations from pathology slides, but it is unclear how well …
[HTML][HTML] Gram negative bacteria
J Oliveira, WC Reygaert - 2019 - europepmc.org
Gram Negative Bacteria - Abstract - Europe PMC Sign in | Create an account https://orcid.org
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Clipath: Fine-tune clip with visual feature fusion for pathology image analysis towards minimizing data collection efforts
Abstract Contrastive Language-Image Pre-training (CLIP) has shown its ability to learn
distinctive visual representations and generalize to various downstream vision tasks …
distinctive visual representations and generalize to various downstream vision tasks …
Joint semi-supervised and active learning for segmentation of gigapixel pathology images with cost-effective labeling
The need for manual and detailed annotations limits the applicability of supervised deep
learning algorithms in medical image analyses, specifically in the field of pathology. Semi …
learning algorithms in medical image analyses, specifically in the field of pathology. Semi …
Artificial intelligence-derived neurofibrillary tangle burden is associated with antemortem cognitive impairment
Tauopathies are a category of neurodegenerative diseases characterized by the presence
of abnormal tau protein-containing neurofibrillary tangles (NFTs). NFTs are universally …
of abnormal tau protein-containing neurofibrillary tangles (NFTs). NFTs are universally …
Implicit anatomical rendering for medical image segmentation with stochastic experts
Integrating high-level semantically correlated contents and low-level anatomical features is
of central importance in medical image segmentation. Towards this end, recent deep …
of central importance in medical image segmentation. Towards this end, recent deep …
Computational Evaluation of the Combination of Semi-Supervised and Active Learning for Histopathology Image Segmentation with Missing Annotations
Real-world segmentation tasks in digital pathology require a great effort from human experts
to accurately annotate a sufficiently high number of images. Hence, there is a huge interest …
to accurately annotate a sufficiently high number of images. Hence, there is a huge interest …
The status of digital pathology and associated infrastructure within Alzheimer's Disease Centers
Digital pathology (DP) has transformative potential, especially for Alzheimer disease and
related disorders. However, infrastructure barriers may limit adoption. To provide …
related disorders. However, infrastructure barriers may limit adoption. To provide …
How cy pres promotes transdisciplinary convergence science: an academic health center for women's cardiovascular and brain health
Cardiovascular disease (CVD) is largely preventable, and the leading cause of death for
men and women. Though women have increased life expectancy compared to men, there …
men and women. Though women have increased life expectancy compared to men, there …