Lung cancer diagnosis relies heavily on interpreting complex computed tomography (CT) images, where accuracy can vary ...
Abstract: Prototype-based meta-learning has emerged as an effective approach for few-shot hyperspectral image classification (HSIC), but estimating deterministic prototypes directly from a limited ...
Abstract: Accurate segmentation and classification of brain tumors from magnetic resonance imaging (MRI) are critical for effective diagnosis and treatment planning. This article proposes a novel ...
The team built a DenseNet – a densely connected convolutional neural network – that learns hierarchical features directly ...
Recent years have witnessed the unprecedented development of Industry 4.0 and the Industrial Internet of Things. These two ...
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