Latest AI and machine learning research in covid-19 for healthcare professionals.
Recent advancements in deep learning for medical image segmentation are often limited by the scarc...
Region of Interest (ROI)-based image compression optimizes bit allocation by prioritizing ROI for ...
Six-degree-of-freedom robotic testing is used to gain insight into knee function by measuring the bi...
Background: Sepsis-associated acute kidney injury (SA-AKI) is a life-threatening complication with m...
Discrete wavelet transforms have been applied in many machine learning models for the analysis of CO...
Cellular senescence is a complex biological process with a dual role in tissue homeostasis and aging...
The present study aimed to develop and validate a fusion model based on multi-phase contrast-enhance...
PURPOSE: Noninvasive, accurate and novel approaches to predict patients who will achieve pathologica...
High-quality computed tomography (CT) scans are essential for accurate diagnostic and therapeutic de...
Song et al. (2024), "Prediction of PFAS bioaccumulation in different plant tissues with machine lear...
Convolutional neural networks (CNNs) can effectively extract local features, while Vision Transforme...
Neural models produce promising results when solving Vehicle Routing Problems (VRPs), but may often ...
Extracellular vesicles (EVs), which are secreted by various cell types, hold significant potential f...
Accurate lesion tracking in temporal mammograms is essential for monitoring breast cancer progress...
The rapid proliferation of modified images on social networks that are driven by widely accessible...
Medical image data is less accessible than in other domains due to privacy and regulatory constrai...
Medical image data is less accessible than in other domains due to privacy and regulatory constrai...
Diffusion and flow matching models have significantly advanced media generation, yet their design ...
Advancements in generative models have enabled image inpainting models to generate content within ...
Diffusion-based generative models have shown promise in synthesizing histopathology images to addr...
This study aims to integrate cross-disease omics data and perform multidimensional analysis to uncov...