Globally optimal segmentation of cell nuclei in fluorescence microscopy images using shape and intensity information

Research article (Medical Image Analysis, 2019) · cited 20× · AI/ML
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Globally optimal segmentation of cell nuclei in fluorescence microscopy images using shape and intensity information

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Globally optimal segmentation of cell nuclei in fluorescence microscopy images using shape and intensity information is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Globally optimal segmentation of cell nuclei in fluorescence microscopy images using shape and intensity information. Retrieved May 24, 2026, from https://4ort.xyz/entity/globally-optimal-segmentation-of-cell-nuclei-in-fluorescence-microscopy-images-using-shape-and-intensity-information
MLA “Globally optimal segmentation of cell nuclei in fluorescence microscopy images using shape and intensity information.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/globally-optimal-segmentation-of-cell-nuclei-in-fluorescence-microscopy-images-using-shape-and-intensity-information.
BibTeX @misc{4ortxyz_globally-optimal-segmentation-of-cell-nuclei-in-fluorescence-microscopy-images-using-shape-and-intensity-information_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Globally optimal segmentation of cell nuclei in fluorescence microscopy images using shape and intensity information}}, year = {2026}, url = {https://4ort.xyz/entity/globally-optimal-segmentation-of-cell-nuclei-in-fluorescence-microscopy-images-using-shape-and-intensity-information}, note = {Accessed: 2026-05-24}}
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