PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images [0.03%]
基于多参数磁共振图像的前列腺病变计算机分类的PROSTATEx挑战赛
Samuel G Armato rd,Henkjan Huisman,Karen Drukker et al.
Samuel G Armato rd et al.
Grand challenges stimulate advances within the medical imaging research community; within a competitive yet friendly environment, they allow for a direct comparison of algorithms through a well-defined, centralized infrastructure. The tasks...
Evaluation of a photon counting Medipix3RX cadmium zinc telluride spectral x-ray detector [0.03%]
评价用于光子计数医学像素3RX镉锌碲能谱CT探测器性能的实验研究
Jeffrey F Marsh,Steven M Jorgensen,David S Rundle et al.
Jeffrey F Marsh et al.
We assess the performance of a cadmium zinc telluride (CZT)-based Medipix3RX energy-resolving and photon-counting x-ray detector as a candidate for spectral microcomputed tomography (micro-CT) imaging. It features an array of 128 × 128...
Photon counting performance of amorphous selenium and its dependence on detector structure [0.03%]
非晶硒的光子计数性能及其对探测器结构的依赖性
Jann Stavro,Amir H Goldan,Wei Zhao
Jann Stavro
Photon counting detectors (PCD) have the potential to improve x-ray imaging; however, they are still hindered by high costs and performance limitations. By using amorphous selenium (a-Se), the cost of PCDs can be significantly reduced compa...
Deep convolutional neural network-based patch classification for retinal nerve fiber layer defect detection in early glaucoma [0.03%]
基于深度卷积神经网络的视网膜神经纤维层损伤区域分类方法用于早期青光眼检测
Rashmi Panda,Niladri B Puhan,Aparna Rao et al.
Rashmi Panda et al.
Glaucoma is a progressive optic neuropathy characterized by peripheral visual field loss, which is caused by degeneration of retinal nerve fibers. The peripheral vision loss due to glaucoma is asymptomatic. If not detected and treated at an...
Simplex-based navigation tool for a posteriori selection of the preferred deformable image registration outcome from a set of trade-off solutions obtained with multiobjective optimization for the case of breast MRI [0.03%]
基于单纯形的后选优选变形图像配准结果的导航工具以从多目标优化获得的一组权衡解决方案中选取乳腺MRI案例中的首选结果
Kleopatra Pirpinia,Peter A N Bosman,Claudette E Loo et al.
Kleopatra Pirpinia et al.
Multiobjective optimization approaches for deformable image registration (DIR) remove the need for manual adjustment of key parameters and provide a set of solutions that represent high-quality trade-offs between objectives of interest. Cho...
Highlighting nerves and blood vessels for ultrasound-guided axillary nerve block procedures using neural networks [0.03%]
基于神经网络的超声引导下腋路阻滞中神经和血管的自动识别技术
Erik Smistad,Kaj Fredrik Johansen,Daniel Høyer Iversen et al.
Erik Smistad et al.
Ultrasound images acquired during axillary nerve block procedures can be difficult to interpret. Highlighting the important structures, such as nerves and blood vessels, may be useful for the training of inexperienced users. A deep convolut...
Dominic Buchta,Hüseyin Serbes,Daniel Claus et al.
Dominic Buchta et al.
Early detection of cancer can significantly increase the survival chances of patients. Palpation is a traditional method in order to detect cancer; however, in minimally invasive surgery the surgeon is deprived of the sense of touch. We dem...
In-vivo Barrett's esophagus digital pathology stage classification through feature enhancement of confocal laser endomicroscopy [0.03%]
用于激光共聚焦内窥镜特征增强的巴雷特食管活体数字病理分期分类
Noha Ghatwary,Amr Ahmed,Enrico Grisan et al.
Noha Ghatwary et al.
Barrett's esophagus (BE) is a premalignant condition that has an increased risk to turn into esophageal adenocarcinoma. Classification and staging of the different changes (BE in particular) in the esophageal mucosa are challenging since th...
Development and evaluation of a method for segmentation of cardiac, subcutaneous, and visceral adipose tissue from Dixon magnetic resonance images [0.03%]
狄xon磁共振图像的心脏、皮下和内脏脂肪组织分割方法的开发与评估
Jon D Klingensmith,Addison L Elliott,Amy H Givan et al.
Jon D Klingensmith et al.
Magnetic resonance imaging (MRI) has evolved into the gold standard for quantifying excess adiposity, but reliable, efficient use in longitudinal studies requires analysis of large numbers of images. The objective of this study is to develo...
Convolutional neural network initialized active contour model with adaptive ellipse fitting for nuclear segmentation on breast histopathological images [0.03%]
基于自适应椭圆拟合的初始化卷积神经网络主动轮廓模型的乳腺病理图像细胞核分割方法研究
Jun Xu,Lei Gong,Guanhao Wang et al.
Jun Xu et al.
Automated detection and segmentation of nuclei from high-resolution histopathological images is a challenging problem owing to the size and complexity of digitized histopathologic images. In the context of breast cancer, the modified Bloom-...