Segmentation results of coal gangue image on working face belt conveyor. حسب Lei Zhu (16642)

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Comparison of MCount ( and ) and NICE performance in recognizing colony segments and sub-images. حسب Sijie Chen (1622476)

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Performance comparison of segmentation methods on the UroCell dataset. حسب Yubraj Gupta (7465394)

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Effect of segmentation mask resolution on CUDA memory usage and performance metrics. (A) Memory usage as a function of queries when Cell-TRACTR produces a segmentation mask with th... حسب Owen M. O’Connor (11965460)

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Thunderstorm clouds were identified and extracted by the CSCAP algorithm from 0000–0600 BJT (Beijing Time) on 29 May 2015. حسب Manxing Shi (22367181)

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Effect of segmentation error on Leiden clustering. حسب Matthias Bruhns (22250913)

Effect of segmentation errors on phenotype assignments. حسب Matthias Bruhns (22250913)

Two representative subsets of (A) high-flash-rate and (B) low-flash-rate lightning data identified by the CC3D algorithm. حسب Manxing Shi (22367181)

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The Delaunay triangulations of aggregation dataset. حسب Wei Xingqiong (21492703)

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Parameter Settings for Comparative Experiments. حسب Wei Xingqiong (21492703)

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Clustering results of real datasets. حسب Wei Xingqiong (21492703)

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Comparison of Delaunay triangulations before and after merging clusters. حسب Wei Xingqiong (21492703)

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Example of Delaunay triangulation. حسب Wei Xingqiong (21492703)

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The compared Delaunay triangulations of cutting edges. حسب Wei Xingqiong (21492703)

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The supplementary datasets and additional materials referenced in this study are publicly available through the GitHub repository hosted at: حسب Wei Xingqiong (21492703)

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The details of experiment datasets. حسب Wei Xingqiong (21492703)

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DAC module. حسب He Meng (33363)

"…For addressing these challenges, we propose a novel deep learning algorithm featuring Dense Atrous Convolution (DAC) and attention mechanism to realize high-precision segmentation and classification of Coronary artery plaques. …"

Ablation experiments. حسب He Meng (33363)

"…For addressing these challenges, we propose a novel deep learning algorithm featuring Dense Atrous Convolution (DAC) and attention mechanism to realize high-precision segmentation and classification of Coronary artery plaques. …"

Workflow of this paper. حسب He Meng (33363)

"…For addressing these challenges, we propose a novel deep learning algorithm featuring Dense Atrous Convolution (DAC) and attention mechanism to realize high-precision segmentation and classification of Coronary artery plaques. …"

Improved network used in this paper. حسب He Meng (33363)

"…For addressing these challenges, we propose a novel deep learning algorithm featuring Dense Atrous Convolution (DAC) and attention mechanism to realize high-precision segmentation and classification of Coronary artery plaques. …"