RC Ray,GWW Stevens - 《British Journal of Radiology》 被引量: 0发表: 2014年 Reciprocity failure and latent-image fading in autoradiography. Br J Radiol. 1953 Jul;26(307):362-7. RC Ray,GWW Stevens - 《Br J Radiol》 被引量: 0发表: 2014年 Latent Image Theory and its Experimental Applic...
Unsupervised learning in radiology using novel latent variable models. In CVPR (2), pages 854-859, San Diego, California, June 2005.Carrivick et al. Unsupervised learning in radiology using novel latent variable models:, IEEE 2005 Computer Conference on Computer Vision and Patter Recognition vol....
(latentgraph)>pip install imagesize (latentgraph)>pip install networkx (latentgraph)>pip install opencv-python (latentgraph)>pip install yapf==0.40.1 Dataset Setup Each dataset needs to be set up in the appropriate format. All of our models require frames to be extracted (at 1 fps) and u...
Link prediction is an attractive research topic in the field of data mining and has significant applications in improving performance of recommendation system and exploring evolving mechanisms of the complex networks. A variety of complex systems in real world should be abstractly represented as bipartit...
Full size image Characteristics and quality of included studies Overall, the selected 14 studies included 982 subjects, comprising 526 active TB and 456 LTBI patients for this meta-analysis. Diagnosis of active TB and LTBI in all studies was based upon bacteriology, clinical and radiology evidence,...
The association between any two genes was calculated as the cosine between any two gene document vectors in 500 dimensions. Full size image and, for the log-entropy model: where f ij is the frequency of the ith term in the jth gene-document, p ij is the probability of the ith term ...
Household contacts were evaluated for active TB using symptoms, signs, and chest radiology. All chest X-rays were examined by two radiologists, blinded to clinical details. A scale of severity was assigned as described by Petruccioli et al.; 0: normal chest X-ray; 1: mild grade; 2: ...
We present in this paper a new approach for the automatic annotation of medical images, using theapproach of bag-of-words to represent the visualcontent of the medical image combined with textdescriptors based approach tf.idf and reduced by latent semantic to extract the co-occurrence between...
Accurate three-dimensional (3D) models play crucial roles in computer assisted planning and interventions. MR or CT images are frequently used to derive 3D
We propose a large-factor super-resolution (SR) method for performing SR on registered medical image datasets. Conventional SR approaches use low-resolution (LR) and high-resolution (HR) image pairs to train a deep convolutional neural network (DCN). However, LR–HR images in medical imaging ...