【作者单位】1Computer Engineering Department, Taiyuan Institute of Technology, Taiyuan 030008, China;2College of Computer Science and Technology, Taiyuan Normal University, Jinzhong 030619, China;3College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China
【年份】2024
【卷号】Vol.14 No.10
【页码】4073
【关键词】medical image segmentation swin transformer ConvNext GLFUnet cancer
【摘要】 Accurate segmentation of medical images is vital for disease detection and treatment. Convolutional Neural Networks and Transformer models are widely used in medical image segmentation due to their exceptional capabilities in image recognition and s...
