TEXT-GUIDED SYNTHESIS IN MEDICAL MULTIMEDIA RETRIEVAL: A FRAMEWORK FOR ENHANCED COLONOSCOPY IMAGE CLASSIFICATION AND SEGMENTATION

Text-Guided Synthesis in Medical Multimedia Retrieval: A Framework for Enhanced Colonoscopy Image Classification and Segmentation

The lack of extensive, varied, and thoroughly annotated datasets impedes the advancement of artificial intelligence (AI) for medical applications, especially colorectal cancer detection.Models trained with limited diversity often display biases, especially when utilized on disadvantaged groups.Generative models (e.g., DALL-E 2, Vector-Quantized Gen

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Context Aggregation Network for Semantic Labeling in Aerial Images

Semantic labeling for high resolution aerial images is a fundamental and necessary task in remote sensing image analysis.It is widely used in land-use surveys, change detection, and environmental protection.Recent researches reveal the superiority of Convolutional Neural Networks (CNNs) in this task.However, multi-scale object recognition and accur

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3D Simulation of a Loss of Vacuum Accident (LOVA) in ITER (International Thermonuclear Experimental Reactor): Evaluation of Static Pressure, Mach Number, and Friction Velocity

ITER (International Thermonuclear Experimental Reactor) is a magnetically confined plasma nuclear reactor.Inside it, due to plasma disruptions, the formation nitrile gloves in a bucket of neutron-activated powders, which are essentially made out of tungsten and beryllium, occurs.As many windows for diagnostics are present on the reactor, which oper

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