Nature-inspired algorithms emulate the mathematical and innovative techniques for non-linear and real-life problems worldwide. Imaging technology is emerging out as one of the most prominent and widely used domain in medical field such as cancerous cell nuclei detection, blood vessel segmentation, study of organs or structure of tissues and many more. Nature-inspired algorithms emulate the mathematical and innovative techniques for non-linear and real-life problems and can be applied to segment or analyse the images. An efficient image segmentation technique may help the subject experts such as radiologist and pathologist for early and effective examination or diagnosis of disease. The authors proposed a firefly-based segmentation technique that can be employed to segment the breast cancer image regardless the type or modality of the image. The effectiveness of the proposed technique is validated by comparing the procured results with the existing state-of-art techniques.

受自然启发的算法模拟全球非线性和现实生活问题的数学和创新技术。成像技术正在成为医学领域最突出和应用最广泛的领域之一，例如癌细胞核检测、血管分割、器官或组织结构研究等等。受自然启发的算法模拟非线性和现实生活问题的数学和创新技术，可用于分割或分析图像。有效的图像分割技术可以帮助放射科医师和病理学家等学科专家对疾病进行早期有效的检查或诊断。作者提出了一种基于萤火虫的分割技术，可用于分割乳腺癌图像，而不管图像的类型或模态如何。