Endometrial cancer (EC) is one of the most common gynecological malignancies, with an increasing incidence rate worldwide. Accurate segmentation of lesion areas in computed tomography (CT) images is a critical step in assisting clinical diagnosis. In this study, we propose a novel deep learning-based segmentation model, termed spatial choice and weight union network (SCWU-Net), which incorporates two newly designed modules: the spatial selection module (SSM) and the combination weight module (CWM). The SSM enhances the model's ability to capture contextual information through deep convolutional blocks, while the CWM, based on joint attention mechanisms, is employed within the skip connections to further boost segmentation performance. By integrating the strengths of both modules into a U-shaped multi-scale architecture, the model achieves precise segmentation of EC lesion regions. Experimental results on a public dataset demonstrate that SCWU-Net achieves a Dice similarity coefficient (DSC) of 82.98%, an intersection over union (IoU) of 78.63%, a precision of 92.36%, and a recall of 84.10%. Its overall performance is significantly outperforming other state-of-the-art models. This study enhances the accuracy of lesion segmentation in EC CT images and holds potential clinical value for the auxiliary diagnosis of endometrial cancer.
Humans ; Endometrial Neoplasms/diagnostic imaging* ; Female ; Tomography, X-Ray Computed/methods* ; Deep Learning ; Algorithms ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer

Platinum-based nanoplatforms can enhance the absorption of X-ray due to the presence of high atomic number element of platinum and are applied to computed tomography imaging.Meanwhile,platinum-based nanomaterials have good near-infrared light absorption properties and photothermal conversion efficiency,which make them capable of photothermal imaging and photoacoustic imaging.In addition,by reducing transverse and longitudinal relaxation time,platinum-based nanoplatforms can mediate MRI imaging.In this paper,we report a multimodal imaging system based on platinum-based nanoplatforms for guiding the development of cancer treatment and diagnosis platform and medical application research,and also summarize the prospects of multimodal imaging technology in cancer diagnosis and treatment,report the research progress of platinum-based nanoplatforms in improving the contrast of medical images and enhancing cancer treatment.