Abstract: Early detection of lung cancer is crucial for improving patient survival and reducing mortality. However, medical datasets often face challenges like irrelevant features and class imbalance, ...
Abstract: Subspace learning and Support Vector Machine (SVM) are two critical techniques in pattern recognition, playing pivotal roles in feature extraction and classification. However, how to learn ...
This standalone MATLAB project generates edge groups from images, converts manual polyline annotations into edge-group labels, and trains RF and PCA/SVM classifiers. The repository includes the ...
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