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Image segmentation performance.
Image segmentation performance.
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NIAID Data Ecosystem
2026-03-12 收录
图像分割性能评估
近红外图像
数据链接:
https://figshare.com/articles/dataset/Image_segmentation_performance_/13052859
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资源简介:
Mean results over 400 NIR images (image sub-regions of 10 × 10 pixels).
应用场景:
创建时间:
2020-10-05
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Performance evaluation of our vcells-MM segmentation compared against eight existing commonly used segmentation methods.
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The compared methods utilize various approaches including region-based segmentation, pixel-based segmentation and histogram-based segmentation. For all methods performance are evaluated in terms of me
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--- dataset_info: features: - name: mask dtype: image - name: rgb dtype: image - name: nir dtype: image splits: - name: train num_bytes: 1793525480.3296545 num_examples
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The mean Jaccard index (JI) scores for the four segmentation techniques applied to the original images.
图像分割性能评估
The mean Jaccard index (JI) scores for the four segmentation techniques applied to the original images.
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Runtimes for the different images with and without segmentation (proposed classifier).
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Runtimes for the different images with and without segmentation (proposed classifier).
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A comparison between the average accuracy of different segmentation methods with cross-training/testing.
图像分割性能评估
交叉验证
A comparison between the average accuracy of different segmentation methods with cross-training/testing.
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