Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...
New Akida platform identifies radio-frequency signals in real time while using sub-watt power.
Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...
Abstract: In this study, we present a multistage learning pipeline that utilizes the ResNet-50 architecture as a static feature extractor for multiclass image classification problems. This methodology ...
1. Segment bgimpact segment DeepLabV3 produces a mask + overlay per image. 2. Remove background bgimpact remove-bg Keep the object, paint the background black. 3. Remove foreground bgimpact remove-fg ...
ABSTRACT: Pneumonic-type lung cancer (PTLC) represents a distinct manifestation of lung carcinoma, characterized by overlapping clinical symptoms and imaging features with infectious lesions, often ...
ABSTRACT: Cognitive impairment is a frequent and debilitating outcome of stroke, profoundly affecting patient independence, recovery trajectories, and long-term quality of life. Despite its prevalence ...
Lung cancer remains a leading cause of global cancer mortality, demanding precise diagnostic tools for accurate subtype classification. This paper introduces a novel Enhanced GraphSAGE (E-GraphSAGE) ...
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