The comparison of our proposed CNN architecture (DeepVess), manual annotation by a trained person, and two state-of-the-art methods [24, 28] to the gold standard of the expert human annotation based on the 4-fold cross-validation results.
收藏Figshare2019-03-13 更新2026-04-29 收录
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https://figshare.com/articles/dataset/The_comparison_of_our_proposed_CNN_architecture_i_DeepVess_i_manual_annotation_by_a_trained_person_and_two_state-of-the-art_methods_24_28_to_the_gold_standard_of_the_expert_human_annotation_based_on_the_4-fold_cross-validation_results_/7839656
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DeepVess surpassed both human annotator and two state-of-the-art methods in terms of sensitivity as well as Dice index, Jaccard index, and boundary modified Hausdorff distance, which are the three metrics that are widely used in segmentation.
创建时间：
2019-03-13
