Patch-based Aggregation
Patch-Based Aggregation is an aggregation metric that computes overall scores by combining local measurements derived from discrete subregions, or patches, of a dataset or image to capture spatially distributed patterns while preserving fine-grained structural information.
22
Publications
957
Citations
158
Authors
70
Institutions
Publications per year
2017–2026
14
Parents
22
Accurate diagnosis of colorectal cancer based on histopathology images using artificial intelligence
Kai Wang, Gang Yu, C. Xu et al. · BMC Medicine · 2021 · 174 citations · Full text
Attention-based Multi-Patch Aggregation for Image Aesthetic Assessment
Kekai Sheng, Weiming Dong, Chongyang Ma et al. · 2018 · 120 citations
Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation
Shu Liu, Xiaojuan Qi, Jianping Shi et al. · 2016 · 89 citations
Triply Complementary Priors for Image Restoration
Zhiyuan Zha, Bihan Wen, Xin Yuan et al. · IEEE Transactions on Image Processing · 2021 · 70 citations
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Centre National de la Recherche Scientifique
Paris, France
3 h-index
7 publications
104 citations
Agency for Science, Technology and Research
Singapore, Singapore
2 h-index
4 publications
174 citations

University of Electronic Science and Technology of China
Chengdu, China
2 h-index
2 publications
87 citations
Third Xiangya Hospital
Changsha, China
2 h-index
7 publications
408 citations
Université Claude Bernard Lyon 1
Villeurbanne, France
2 h-index
5 publications
72 citations
University of Oklahoma Health Sciences Center
Oklahoma City, United States
2 h-index
2 publications
186 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
4 publications
174 citations

Central South University
Changsha, China
2 h-index
63 publications
5.3K citations
1–8 of 70
Repository · 2 publications · 37 citations
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1 publications · 12 citations
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Repository · 1 publications · 17 citations
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1 publications · 16 citations
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1 publications · 22 citations
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