Location-Based Services (LBSs) provide users especially in smartphones with information and services based on their location and interests. Predicting people's next location could help in improving the quality of such services and, in turn, boosting people's confidence on those services. Any ...
A knowledge-based hierarchical method for detecting regions of interests (ROIs) uses prior knowledge of the targets and the image resolution in detecting ROIs. The result produces ROIs that contain only one target that is completely enclosed within the ROI. The detected ROI can conform to the ...
Regions of interest. To address the study aims concerning the self-related processes of self-reflection and sub- jective valuation, we selected two regions of interest (ROIs) strongly associated with each of these processes (dis- played in Fig. 2). ROIs for self-reflection were defined ...
A knowledge-based hierarchical method for detecting regions of interests (ROIs) uses prior knowledge of the targets and the image resolution in detecting ROIs. The result produces ROIs that contain only one target that is completely enclosed within the ROI. The detected ROI can conform to the sha...
The shape retrieval feature of different objects in the image also remains a difficult problem due to distinct angle view of different objects in a scene only; few studies have reported solution to the problem of finding relative locations of ROIs. In this paper, we proposed three methods such...
Although we have many false positives and there is a possibility of missing undifferentiated types of cancer, this system is very effective for detecting ROIs. Conclusions: The mathematical system proposed by our group successfully detects ROIs and is a potentially useful tool for differentiating tumor...
Radiomics-based machine learning classifiers have shown potential for detecting bone metastases (BM) and for evaluating BM response to radiotherapy (RT). However, current radiomics models require large datasets of images with expert-segmented 3D regions of interest (ROIs). Full ROI segmentation is tim...
automation to delineate regions of interest on positron emission tomography (PET) scans. The purpose of this study was to ascertain improvements in image processing time and reproducibility of a semi-automated brain region extraction (SABRE) method over manual delineation of regions of interest (ROIs...
The shape retrieval feature of different objects in the image also remains a difficult problem due to distinct angle view of different objects in a scene only; few studies have reported solution to the problem of finding relative locations of ROIs. In this paper, we proposed three methods such...
Block diagram of the burn image segmentation framework. The framework contains three parts. The blue part is extracting the features from the image. The red part is the region proposal network to generate the regions of interests. The green part is the network heads to classify and regress Full...