Search alternatives:
models optimization » process optimization (Expand Search), wolf optimization (Expand Search), codon optimization (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
image models » climate models (Expand Search), change models (Expand Search), scale models (Expand Search)
primary data » primary care (Expand Search)
data model » data models (Expand Search)
models optimization » process optimization (Expand Search), wolf optimization (Expand Search), codon optimization (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
image models » climate models (Expand Search), change models (Expand Search), scale models (Expand Search)
primary data » primary care (Expand Search)
data model » data models (Expand Search)
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Features selected by optimization algorithms.
Published 2024“…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …”
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ROC curve for binary classification.
Published 2024“…To achieve this, we focused the study on addressing the challenge of image noise, which impacts the performance of deep learning models. …”
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Confusion matrix for binary classification.
Published 2024“…To achieve this, we focused the study on addressing the challenge of image noise, which impacts the performance of deep learning models. …”
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A* Path-Finding Algorithm to Determine Cell Connections
Published 2025“…Future work aims to generalize this algorithm for broader biological applications by training additional Cellpose models and adapting the A* framework.…”
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