Efficient computational model for classification of protein localization images using Extended Threshold Adjacency Statistics and Support Vector Machines

Research article (Computer Methods and Programs in Biomedicine, 2018) · cited 17× · AI/ML
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Efficient computational model for classification of protein localization images using Extended Threshold Adjacency Statistics and Support Vector Machines

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Efficient computational model for classification of protein localization images using Extended Threshold Adjacency Statistics and Support Vector Machines is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Efficient computational model for classification of protein localization images using Extended Threshold Adjacency Statistics and Support Vector Machines. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-computational-model-for-classification-of-protein-localization-images-using-extended-threshold-adjacency-stati
MLA “Efficient computational model for classification of protein localization images using Extended Threshold Adjacency Statistics and Support Vector Machines.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-computational-model-for-classification-of-protein-localization-images-using-extended-threshold-adjacency-stati.
BibTeX @misc{4ortxyz_efficient-computational-model-for-classification-of-protein-localization-images-using-extended-threshold-adjacency-stati_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient computational model for classification of protein localization images using Extended Threshold Adjacency Statistics and Support Vector Machines}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-computational-model-for-classification-of-protein-localization-images-using-extended-threshold-adjacency-stati}, note = {Accessed: 2026-05-24}}
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