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Explore how fine-tuning the Segment Anything Model (SAM) enhances image segmentation tasks like medi...
Data privacy is a core issue in the ethical deployment of AI. Many AI applications rely on massive d...
Heart disease (HD) is a serious medical condition that has an enormous effect on people's qualit...
This talk addresses the growing importance of synthetic data in overcoming challenges related to dat...
The detection of brain tumors is one of the most critical challenges in modern medical science, due ...
Imbalanced datasets frequently occur in fields like fraud detection and medical diagnosis, where the...
Artificial Intelligence (AI) in healthcare represents a transformative approach to improving patient...
"Data-Mining-in-Healthcare. “ provides a comprehensive overview of how data mining is transfo...
Heart failure is a critical health problem worldwide, and its prediction is a major challenge in med...
Presenter: Andrew Schroeder, PhD. Project Manager & Senior Data Curator, 4D Nucleome Data Coordi...
Background: The digital twin paradigm holds great promise for healthcare, most importantly efficient...
This study addresses the escalating prevalence of diabetic retinopathy (DR) and glaucoma, major glob...
Title: Exploring RadiAnt DICOM Viewer 2023.1: A Comprehensive Analysis of the Latest PC Software In...
Clinical note research is globally recognized, but work on real-time data, particularly from India, ...
In the fast-paced world of life sciences, having the right information at the right time is essentia...
Predictive Maintenance in Manufacturing: Objective: Predict equipment failures before they occur to...
Pneumonia is a severe lung infection, chest X-ray (CXR) image preferred to find infection. Real imag...
These are the slides of my talk given at the 4th European Congress on Endometriosis (EEC2018) in Vie...
Final Multimodal_Biomedical_Image_Fusion_Research
Introduction: The Promise and Peril of Artificial Intelligence in Healthcare Artificial Intelligenc...
PathPresenter: A web-based digital pathology and image viewer Enabling workflows for collaboration u...
Foundation models are machine learning models which are easily capable of performing variable tasks ...
AMOS challenge
this presentation contains the different papers
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