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segmentation algorithm » selection algorithm (Expand Search)
process segmentation » process recommendation (Expand Search), cell segmentation (Expand Search), process simulation (Expand Search)
codon optimization » wolf optimization (Expand Search)
single process » single protein (Expand Search), single cross (Expand Search)
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1
Joint Detection of Change Points in Multichannel Single-Molecule Measurements
Published 2021Subjects: -
2
Algorithm framework of this paper.
Published 2024“…The mixed loss function composed of the Binary Cross Entropy Loss function and the Tversky coefficient is used to replace the original single cross-entropy loss, which restrains the influence of irrelevant features on segmentation accuracy. …”
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Image processing workflow.
Published 2020“…<p>Raw fluorescent microscope images (a) were processed with a binary segmentation algorithm, and clusters of bacterial cells were manually annotated. …”
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5
PathOlOgics_RBCs Python Scripts.zip
Published 2023“…This process generated a ground-truth binary semantic segmentation mask and determined the bounding box coordinates (XYWH) for each cell. …”
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Dense block structure.
Published 2024“…The mixed loss function composed of the Binary Cross Entropy Loss function and the Tversky coefficient is used to replace the original single cross-entropy loss, which restrains the influence of irrelevant features on segmentation accuracy. …”
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8
Structure diagram of a transition layer.
Published 2024“…The mixed loss function composed of the Binary Cross Entropy Loss function and the Tversky coefficient is used to replace the original single cross-entropy loss, which restrains the influence of irrelevant features on segmentation accuracy. …”
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9
Dense-U-net network structure.
Published 2024“…The mixed loss function composed of the Binary Cross Entropy Loss function and the Tversky coefficient is used to replace the original single cross-entropy loss, which restrains the influence of irrelevant features on segmentation accuracy. …”