Chong, Nannan
Yang, Fan
Wei, Kewei
Funding for this research was provided by:
Science and Technology Coop- eration Special Project of Shijiazhuang (SJZZXA23005)
Article History
Received: 27 November 2024
Accepted: 31 March 2025
First Online: 15 May 2025
Declarations
:
: The authors declare no competing interests.
: This study utilized publicly available medical image datasets for training, testing, and validation. All medical data were fully anonymized, devoid of identifiable patient information such as names, addresses, or birthdates, and usage complied with institutional data policies, adhering to the intended scope and purpose. To ensure sufficient diversity and reduce potential biases or negative impacts, we used multiple public medical datasets. Extensive ablation and comparative experiments were conducted to evaluate the quality of these public datasets, ensuring data accuracy and authenticity.