Effective integration of object boundaries and regions for improving the performance of medical image segmentation by using two cascaded networks

Research article (Computer Methods and Programs in Biomedicine, 2021) · cited 10× · AI/ML
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Effective integration of object boundaries and regions for improving the performance of medical image segmentation by using two cascaded networks

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Effective integration of object boundaries and regions for improving the performance of medical image segmentation by using two cascaded networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Effective integration of object boundaries and regions for improving the performance of medical image segmentation by using two cascaded networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/effective-integration-of-object-boundaries-and-regions-for-improving-the-performance-of-medical-image-segmentation-by-us
MLA “Effective integration of object boundaries and regions for improving the performance of medical image segmentation by using two cascaded networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/effective-integration-of-object-boundaries-and-regions-for-improving-the-performance-of-medical-image-segmentation-by-us.
BibTeX @misc{4ortxyz_effective-integration-of-object-boundaries-and-regions-for-improving-the-performance-of-medical-image-segmentation-by-us_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Effective integration of object boundaries and regions for improving the performance of medical image segmentation by using two cascaded networks}}, year = {2026}, url = {https://4ort.xyz/entity/effective-integration-of-object-boundaries-and-regions-for-improving-the-performance-of-medical-image-segmentation-by-us}, note = {Accessed: 2026-05-24}}
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