Comparison with other deep learning models. Compared with other models, under the evaluation metrics of accuracy, precision, recall, F1_Score, and MCC, the effect is best when using an image divided into sixteen equal parts combined with a pre-training strategy.
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https://figshare.com/articles/dataset/Comparison_with_other_deep_learning_models_Compared_with_other_models_under_the_evaluation_metrics_of_accuracy_precision_recall_F1_Score_and_MCC_the_effect_is_best_when_using_an_image_divided_into_sixteen_equal_parts_combined_with_a_pre-tra/29101094
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Comparison with other deep learning models. Compared with other models, under the evaluation metrics of accuracy, precision, recall, F1_Score, and MCC, the effect is best when using an image divided into sixteen equal parts combined with a pre-training strategy.
创建时间：
2025-05-19
