Visual Attention Networks (VANs) leveraging Large Kernel Attention (LKA) have demonstrated remarkable performance in diverse computer vision tasks, often outperforming Vision Transformers (ViTs) in ...
Abstract: Data gaps appear in images of the Martian surface taken by the HiRISE camera on Mars orbiter reconnaissance, affecting downstream missions, e.g., terrain analysis. Recently, many restoration ...
Background and Objective: Bone age detection plays an important role in medical care, sports, judicial expertise and other fields. Traditional bone age identification and detection is according to ...
Given an image and region of interest (ROI) mask as input, the net classifies the region of the image marked in the mask. Figure 1. Segment-specific Classification using CNN For example, in Figure 1 ...
Three-dimensional (3D) liver tumor segmentation from Computed Tomography (CT) images is a prerequisite for computer-aided diagnosis, treatment planning, and monitoring of liver cancer. Despite many ...
Yann Lecun's development of the first convolutional neural network revolutionised computer vision and artificial intelligence. CNNs analyse images by dividing them into sections, similar to how the ...
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