摘要肝脏肿瘤的精确分割是肝脏疾病诊断, 手术计划和术后评估的重要步骤. 计算机断层成像(
computed tomography, CT) 能够为肝脏肿瘤的诊断和治疗提供更为全面的信息 …

目的从医学影像中进行肝脏与肿瘤分割是计算机辅助诊断和治疗的重要前提.
常见的胸部和腹部扫描成像效果中, 图像对比度偏低, 边界模糊, 需要医生丰富的临床解剖学知识 …

肝脏肿瘤是一种发病率高且恶化概率高的疾病, 为了快速地诊断肝脏疾病,
需要从计算机断层扫描(CT) 中准确地分割出肝脏及肿瘤. 为了分析肝脏及肿瘤图像分割领域的 …

CT 图像肝脏肿瘤分割是进行肝癌前期诊断, 肿瘤负荷分析和放射治疗的重要前提.
为实现肿瘤的精确自动分割, 提出一种融合残差模块和注意力机制的深度U 形网络 …

Purpose Accurate segmentation of liver and liver tumors is critical for radiotherapy. Liver
tumor segmentation, however, remains a difficult and relevant problem in the field of medical …

The precision of liver tumor segmentation heavily depends on the doctor's expertise, hence
it is required to produce an algorithm for automatic liver tumor segmentation to reduce the …

Automated segmentation of liver tumors in contrast-enhanced abdominal computed
tomography (CT) scans is essential in assisting medical professionals to evaluate tumor …

Purpose Due to the complex structure of liver tumors and the low contrast with normal
tissues make it still a challenging task to accurately segment liver tumors from CT images. To …