PancreasLymphomaImagingComputed tomographyDifferential diagnosisTo describe CT characteristics of primary pancreatic lymphoma (PPL), a rare disease with features in common with adenocarcinoma. Fourteen patients were enrolled. CT: unenhanced scan, contrast-enhanced pancreatic and venous phases. Image analysis:...
•Pancreaticduct Maximaldiameter3mminadults(5mminelderly)EmptiesintoampullaofVater,alongmedialaspectof2ndportionofduodenum 50year-oldwoman Bennett,W.F.etal.Am.J.Roentgenol.2000;175:882-883 StomachLiverVALKidneySpleen RKidney CTscansofnormalkidneysandpancreas EvaluationbyCT ...
图3 3例良性组病例CT门脉期增强表现 Fig. 3 The enhancement features of 3 benign solid pseudopapillary tumor in portal phase CT scan A: The CT image of a 26-year-old female patient with a cystic mass located in the head of...
Browse State-of-the-Art Datasets Methods More Sign In Semi-supervised Medical Image Segmentation Semi-supervised Medical Image Segmentation on Pancreas-CT 10% labeled data Leaderboard Dataset View by DICE (AVERAGE)AD-MTAD-MTOther modelsModels with highest Dice (Average)29. Nov80.21 Filter: ...
Now on top of that, determining the tumor's resectability will always entail looking at the portal veins and the SMV, and that's best done on the venous phase images. And of course you're not just looking at the pancreas, right? Anytime you're loo...
However, the CNN-based method often suffers from segmentation discontinuity for reasons such as noisy image quality and blurry pancreatic boundary. From this point, we propose to introduce recurrent neural networks (RNNs) to address the problem of spatial non-smoothness of inter-slice pancreas ...
In recent years, coarse-to-fine methods have improved pancreas segmentation accuracy by using coarse predictions in the fine stage, but only object location is utilized and rich image context is neglected. In this paper, we propose a novel distance-based saliency-aware model, namely DSD-ASPP-...
Quantification of Uncertainties in Biomedical Image Quantification Challenge 2021(QUBIQ2021)意为生物医学图像中的不确定性量化,本挑战的数据为语义分割数据,其中包括2D和3D的MRI和CT的数据,包括分割前列腺癌、大脑生长部分、脑肿瘤、肾脏、胰腺以及胰腺病变。本文主要介绍的是本挑战赛数据集的3D数据,其中3D数据全部为CT...
Split-bolus spectral multidetector CT of the pancreas: problem solving in the detection of "isoattenuating" pancreatic cancer? Brook OR, Gourtsoyianni S, Brook A, et al: Split-bolus spectral multidetector CT of the pancreas: assessment of radiation dose and tumor conspicuity. ... Michele,Scialpi...
在40 keV的虚拟单能级图像(virtual mono-energetic image,VMI)上对病灶、胰腺、竖脊肌、腹主动脉区绘制感兴趣区(region of interest,ROI),同步出现在常规CT、IC、有效原子序数(Z-effective atomic number,Zeff)图上(图1、2),避开血...