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gliomas相关的网络例句

查询词典 gliomas

与 gliomas 相关的网络例句 [注:此内容来源于网络,仅供参考]

More than fourty precent of growth s in brain are gliomas.

超过百分之四十的大脑生长存在胶质瘤。

Methods: 1 MR examinations were performed preoperatively in 30 patients with suspected supratentorial gliomas.

1 对30例术前疑为幕上胶质瘤的患者行MR检查,术后经病理组织学证实。

This research has proved that an artificial neural network is capable to differentiate the reactional enhancement of malignant intracranial gliomas in postoperative MR image s and the enhancement caused by tumor residual.

本研究成功地证明了人工神经网络能够鉴别颅内恶性胶质瘤术后磁共振图像的反应性强化与肿瘤残存所致的强化

This research has proved that an artificial neural network is capable to differentiate the reactional enhancement of malignant intracranial gliomas in postoperative MR images and the enhancement caused by tumor residual.

本研究成功地证明了人工神经网络能够鉴别颅内恶性胶质瘤术后磁共振图像的反应性强化与肿瘤残存所致的强化

This research has prove d that an artificial neural network is capable to differentiate the reactional enhancement of malignant intracranial gliomas in postoperative MR images and the enhancement caused by tumor residual.

本研究成功地证明了人工神经网络能够鉴别颅内恶性胶质瘤术后磁共振图像的反应性强化与肿瘤残存所致的强化

This research has proved that an artificial neural network is capable to differentiate the reactional enhancement of malignant intracranial gliomas in postoperative MR images and the enhancement caused by tumor residual. As a innovative differentiation approach, it requires further studies and researches to determine its applicability in practice, including the increase of training samples, image description standardization, effects to doctoral diagnosis, as well as parameter optimization. With improvements in these elements, the performance of the network will be optimized.

本研究成功地证明了人工神经网络能够鉴别颅内恶性胶质瘤术后磁共振图像的反应性强化与肿瘤残存所致的强化,为解决二者的鉴别这一复杂问题提供了一个新的方法,但是本研究只是初步的应用探讨,能否在实际中应用,还有待于进一步的研究,如训练样本的增加、图像描述的规范化、对医师诊断影响程度、参数的优化等,网络的性能会不断完善和提高。

This research has proved that an artificial neural network is capable to differentiate the reactional enhancement of malignant intracranial gliomas in postoperative MR images and the enhancement caused by tumor residual. As a innovative differentiation approach, it requires further studies and researches to determine its applicability in practice, including the increase of training samples, image de脚本ion standardization, effects to doctoral diagnosis, as well as parameter optimization. With improvements in these elements, the performance of the network will be optimized.

本研究成功地证明了人工神经网络能够鉴别颅内恶性胶质瘤术后磁共振图像的反应性强化与肿瘤残存所致的强化,为解决二者的鉴别这一复杂问题提供了一个新的方法,但是本研究只是初步的应用探讨,能否在实际中应用,还有待于进一步的研究,如训练样本的增加、图像描述的规范化、对医师诊断影响程度、参数的优化等,网络的性能会不断完善和提高。

Sources have it that the incidence rate of intracranial gliomas postoperative reactional enhancement is 65.7%, whereas that of tumor residual is 34.3%.

据文献报道,胶质瘤术后反应性强化的发生率是65.7%,肿瘤残存发生率是34.3

Results:Three important MRI feat ures of brain stem gliomas were found:①enlargement of brain stem contour.Using different sequences and planes the precise tumor location could be obtained.Sagittal scan could well display the early stage of brain stem glioma,the tectal glioma and cervicomedullary junction glioma.

结果:MRI表现有以下3个特征:①肿瘤使脑干的外形增大,通过不同序列和断面显示肿瘤的精确部位,矢状面对于显示胶质瘤的早期改变、顶盖部位及延髓颈髓联合部位的胶质瘤具有独特作用。

AIM: To investigate the expression of osteopontin in human gliomas as well as its function.

目的:探讨骨桥蛋白在人脑胶质瘤中的作用、表达及其意义。

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