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Decoding Radiologists' Intentions: A Novel System for Accurate Region Identification in Chest X-ray Image Analysis
The prevalence of errors in CXR diagnoses, particularly among inexperienced radiologists and hospital residents, underscores the importance of understanding radiologists' intentions and the corresponding regions of interest.
Apoptosis classification using attention based spatio temporal graph convolution neural network
Accurate classification of apoptosis plays an important role in cell biology research.
Anomaly Detection in Satellite Videos using Diffusion Models
The definition of anomaly detection is the identification of an unexpected event.
Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics
The COVID-19 pandemic has affected countries across the world, demanding drastic public health policies to mitigate the spread of infection, leading to economic crisis as a collateral damage.
