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.

NIAID Data Ecosystem2026-03-11 收录

数据链接：

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 数据链接链接失效反馈

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资源简介：

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

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.

资源简介：

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