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Secure Medical Image Sharing: Technologies, Watermarking Insights, and Open Issues
With the growth of the Internet, medical documents have become widely used by healthcare professionals. Secure transmission and management of medical images are essential to enable collaboration while protecting sensitive patient information.
Sawsan D. Mahmood +3 more
doaj +1 more source
Medical College building, 1914
This glass lantern slide features a ground view of the Medical College Building of the Medical College of the State of South Carolina in ...
Medical College of South Carolina (1952-1969). Department of Medical Illustration
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Manifesto for medical research [PDF]
The MRCG want to ensure there is a dynamic medical research environment in Ireland. Ensuring priority investment for medical research will help to deliver patient care, public health service transformation and economic and enterprise development.
Medical Research Charities Group
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Self-supervised learning for medical image analysis using image context restoration [PDF]
Machine learning, particularly deep learning has boosted medical image analysis over the past years. Training a good model based on deep learning requires large amount of labelled data.
Chen, Liang +5 more
core +1 more source
CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens +8 more
wiley +1 more source
To improve the quality of the super-resolution (SR) reconstructed medical images, an improved adaptive multi-dictionary learning method is proposed, which uses the combined information of medical image itself and the natural images database.
Fang Zhang +7 more
doaj +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Active contours based on weighted gradient vector flow and balloon forces for medical image segmentation [PDF]
Active contours, or snakes, have been widely used for image segmentation purposes. However, high noise sensitivity and poor performance over weak edges are the most acute issues that hinder the segmentation accuracy of these curves, particularly in ...
Victor Sanchez +5 more
core +1 more source
Structure‐forward targeting of claudins with synthetic binders
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley +1 more source
Reviewing CAM-Based Deep Explainable Methods in Healthcare
The use of artificial intelligence within the healthcare sector is consistently growing. However, the majority of deep learning-based AI systems are of a black box nature, causing these systems to suffer from a lack of transparency and credibility.
Dan Tang +5 more
doaj +1 more source

