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A report from Changchun Normal University in Jilin, China discusses a study on the optimization of artemisinin, a medication used in malaria therapy. The study proposes an algorithm called the Artemisinin Optimization (AO) algorithm, which draws inspiration from the process of artemisinin therapy for malaria. The algorithm is tested on benchmark function sets and breast cancer pathology image segmentation applications, demonstrating its efficiency and potential in real-world optimization applications. The research concludes by providing access to the source codes for further exploration. [Extracted from the article]

Researchers from Jilin University in the People's Republic of China have developed a novel framework for enhancing multi-modal medical image fusion. The proposed methodology focuses on pixel-level structure awareness to accurately reflect lesion characteristics by preserving significant structure and contrast intensity information. The research, funded by various organizations, demonstrates the potential for applications in diagnosing skull base tumors and planning radiotherapy surgeries. The study has been peer-reviewed and the code corresponding to the research is available online for further exploration. [Extracted from the article]