Search alternatives:
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
binary prone » binary people (Expand Search)
prone model » proper model (Expand Search), one model (Expand Search), role model (Expand Search)
tiny » ting (Expand Search), tina (Expand Search), tony (Expand Search)
swarm » warm (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
binary prone » binary people (Expand Search)
prone model » proper model (Expand Search), one model (Expand Search), role model (Expand Search)
tiny » ting (Expand Search), tina (Expand Search), tony (Expand Search)
swarm » warm (Expand Search)
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1
A* Path-Finding Algorithm to Determine Cell Connections
Published 2025“…However, manual annotation proved inefficient and error-prone. To address this, the research integrates a modified A* pathfinding algorithm with a U-Net convolutional neural network, a custom statistical binary classification method, and a personalized Min-Max connectivity threshold to automate the detection of astrocyte connectivity.…”
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2
Classification baseline performance.
Published 2025“…These findings highlight the potential of metaheuristic optimization techniques to improve the effectiveness of deep learning models in clinical diagnostics quantifiably. …”
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3
Feature selection results.
Published 2025“…These findings highlight the potential of metaheuristic optimization techniques to improve the effectiveness of deep learning models in clinical diagnostics quantifiably. …”
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4
ANOVA test result.
Published 2025“…These findings highlight the potential of metaheuristic optimization techniques to improve the effectiveness of deep learning models in clinical diagnostics quantifiably. …”
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5
Summary of literature review.
Published 2025“…These findings highlight the potential of metaheuristic optimization techniques to improve the effectiveness of deep learning models in clinical diagnostics quantifiably. …”
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6
Natural language processing for automated quantification of bone metastases reported in free-text bone scintigraphy reports
Published 2020“…However, processing this rich resource of data for clinical and research purposes, depends on labor-intensive and potentially error-prone manual review. The aim of this study was to develop a natural language processing (NLP) algorithm for binary classification (single metastasis versus two or more metastases) in bone scintigraphy reports of patients undergoing surgery for bone metastases.…”