A novel sectional deep learning framework with region normalization improves hepatocellular carcinoma detection and staging ...
A benchmark of five transfer learning models on 8,000 field-collected grape leaf images showed top test accuracy reached only ...
Deep transfer learning has emerged as a powerful paradigm in image classification, enabling models to leverage knowledge acquired from large, labelled datasets to perform effectively on new tasks with ...
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