Abstract: Hyperspectral image classification methods based on subgraph neural networks (SGNNs) are rarely explored, and its advantage is that it can alleviate the neighbor explosion problem. After ...
Unification: Otary offers a cohesive solution for image and geometry manipulation, letting you work seamlessly without switching tools. Readability: Self-explanatory by design. Otary’s clean, readable ...
As shown below, the inferred masks predicted by our segmentation model trained by the dataset appear similar to the ground truth masks. OIMHS dataset consists of 3859 B-scan images of 119 patients ...
Abstract: Convolutional Neural Networks (CNNs) dominate medical image classification, yet their “black box” nature limits understanding of their decision-making process. This study applies ...
Advancing Computational Material Science and Mechanics through Integrated Deep Learning Models ...
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