Multi-threshold segmentation of breast cancer images based on improved dandelion optimization algorithm

In the context of complex structures and blurred cell boundaries present in breast cancer histopathological tissue images under a microscope, traditional thresholding methods struggle to accurately separate lesion areas in breast cancer image segmentation. To address this challenge, we propose a mul...

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Veröffentlicht in:	The Journal of supercomputing 2024-02, Vol.80 (3), p.3849-3874
Hauptverfasser:	Wang, Zhenghong, Yu, Fanhua, Wang, Dan, Liu, Taihui, Hu, Rongjun
Format:	Artikel
Sprache:	eng
Schlagworte:	Breast cancer Compilers Computer Science Image segmentation Interpreters Medical imaging Optimization Optimization algorithms Processor Architectures Programming Languages Search algorithms Signal to noise ratio Similarity Trigonometric functions
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