摘要
Accurate segmentation of tumor images is a key core technology for the diagnosis and treatment of tumor diseases.In this paper,we analyze a variety of novel and targeted algorithms to solve these problems,summarize,and elaborate the method based on multimodal tumor image processing given the characteristics of serious grayscale inhomogeneity,texture instability,and diversity complexity of tumor images.
基金
2022 Scientific Research Project of Anhui Higher Education Institutions(Natural Science),“Construction and Application of Multimodal Medical Tumor Image Segmentation Model Based on Improved U-Net Model”(Project No.2022AH051889).
