Results 51 to 60 of about 16,808 (228)
EBioMedicineSummary: Background: Deep learning has revolutionized digital pathology, allowing automatic analysis of hematoxylin and eosin (H&E) stained whole slide images (WSIs) for diverse tasks.
Patience Mukashyaka +3 more
doaj +1 more source
Interpretable classification of Alzheimer's disease pathologies with a convolutional neural network pipeline. [PDF]
, 2018 Neuropathologists assess vast brain areas to identify diverse and subtly-differentiated morphologies. Standard semi-quantitative scoring approaches, however, are coarse-grained and lack precise neuroanatomic localization.
Beckett, Laurel +6 more
core
When Biology Meets Medicine: A Perspective on Foundation Models
Advanced Intelligent Discovery, EarlyView.Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Dual‐Scale Transformer Fusion With Meta Learning for Micro Metastasis Detection in Thyroid Cancer
Advanced Intelligent Systems, EarlyView.A dual‐scale transformer model enhanced by meta‐learning enables accurate detection of tiny metastatic lesions in thyroid cancer. By combining cellular and tissue‐level features, the method outperforms existing models and shows strong adaptability to rare cases with limited data.
Jingtao Wang +5 more
wiley +1 more source
Blended and digital approaches in histology and pathology teaching: A scoping review
Anatomical Sciences Education, EarlyView.Abstract Histology and pathology education is evolving, driven by the integration of digital microscopy with other technological advances. Gaining insight into the impact of this transition, while understanding the perspectives of both students and educators, is important for improving teaching practices. This includes mapping teaching methods, digital
Eleonora Nava +3 more
wiley +1 more source
npj Precision OncologyThe rapid development of deep learning has revolutionized medical image processing, including analyzing whole slide images (WSIs). Despite the demonstrated potential for characterizing gene mutations directly from WSIs in certain cancers, challenges ...
Bo-Han Wei +8 more
doaj +1 more source
Machine learning methods for histopathological image analysis
, 2017 Abundant accumulation of digital histopathological images has led to the increased demand for their analysis, such as computer-aided diagnosis using machine learning techniques.
Ishikawa, Shumpei, Komura, Daisuke
core +1 more source
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This research analyses the carbon footprint of the NGO Madre Coraje, using an integrated methodology that combines the calculator provided by REAS (Red de Economía Alternativa y Solidaria) Navarra and the Life Cycle Assessment (LCA). It quantifies emissions across the three scopes of the Greenhouse Gas Protocol, evaluating both direct and ...
José Fernandez‐Serrano +2 more
wiley +1 more source
Digital Rights Activism in Multilevel Governance
European Policy Analysis, EarlyView.ABSTRACT Multilevel governance (MLG) without a clear hierarchical structure can create power imbalances among various actors, particularly in settings with overlapping jurisdictions and policy areas. This dynamic is especially pronounced in Internet governance, which faces a complex interplay of domestic laws, state interdependence, and heightened ...
Alison Harcourt
wiley +1 more source
Journal of Pathology InformaticsArtificial intelligence shows promise for evaluating primary breast cancer, including nodal status and molecular subtype. Here, we present a resource-aware deep learning pipeline that combines a Vision Transformer (ViT) feature extractor with an ...
Zsolt Bedőházi +8 more
doaj +1 more source