In this paper, we develop the theory of probabilistic relaxation when the objects to be labeled are arranged in a rectangular grid with known adjacency relations. In this case a dictionary of permissible label configurations is available... E Hancock,J Kittler 被引量: 0发表: 1990年 Application...
We present an interesting image case of acute, unilateral renal vein thrombosis in a woman with a history of thromboembolic disease in whom serial Tc MAG... B Li,Y Zhang,S Chen,... 被引量: 0发表: 2016年 αvβ3 mediated tumor imaging using 99mTc labeled NAD/monosaccharide coated ferrihydr...
Atlas Chordoma Neoplasm Image Based Modeling of Labeled Brain TumorB.Rajesh KumarDr. K.P. Yadav
We also provide COYO-Labeled-300M by adding machine-generated vision labels to a subset of COYO-700M for comparison with the JFT-300M. We first removed the duplicated images by image_phash. Then, we labeled 300M unique images into 21,841 classes by EfficientNetV2-XL trained with Image...
20 manually labeled human brain MR images are used to train and assess the MAP-QMRF classifier using the jackknife validation method. Comparing the results of the proposed classifier and FreeSurfer on the Dice overlap measure shows an average gain of 1.8%. We have performed a power analysis to...
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作者: EB Levy,VP Krishnasamy,AL Lewis,S Willis,C Macfarlane,V Anderson,MJ van,A Radaelli,MR Dreher,KV Sharma 展开 摘要: Purpose To describe first clinical experience with a directly image-able, inherently radio-opaque microspherical embolic agent for transarterial embolization of liver tumors....
Peptidergic dense-core vesicles are involved in packaging and releasing neuropeptides and peptide hormones—critical processes underlying brain, endocrine and exocrine function. Yet, the heterogeneity within these organelles, even for morphologically def
We focus on a dataset of images of cells immunofluorescence-labeled for ionized calcium-binding adaptor protein-1 (Iba-1) which is a cell type-specific marker and enables visualizing microglia. However, the methodology and accompanying scripts allow for automatic quantification of cells in a wide ...
Unsupervised image segmentation is a technique that divides an image into distinct regions or objects without prior labeling. This approach offers flexibility and adaptability to various types of image data. Particularly for large datasets, it eliminates