scholarly journals RDFNet: A Fast Caries Detection Method Incorporating Transformer Mechanism

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Hao Jiang ◽  
Peiliang Zhang ◽  
Chao Che ◽  
Bo Jin
Keyword(s):  
Spatial Information ◽  
Detection Method ◽  
Health Management ◽  
Dental Health ◽  
Activation Function ◽  
Caries Detection ◽  
Portable Devices ◽  
Backbone Network ◽  
Visual Spatial ◽  
Prevalent Disease

Dental caries is a prevalent disease of the human oral cavity. Given the lack of research on digital images for caries detection, we construct a caries detection dataset based on the caries images annotated by professional dentists and propose RDFNet, a fast caries detection method for the requirement of detecting caries on portable devices. The method incorporates the transformer mechanism in the backbone network for feature extraction, which improves the accuracy of caries detection and uses the FReLU activation function for activating visual-spatial information to improve the speed of caries detection. The experimental results on the image dataset constructed in this study show that the accuracy and speed of the method for caries detection are improved compared with the existing methods, achieving a good balance in accuracy and speed of caries detection, which can be applied to smart portable devices to facilitate human dental health management.

scholarly journals Non-communicable disease surveillance in India using Geographical Information System-An experience from Punjab

2021 ◽  
Vol 33 (3) ◽  
pp. 506-511
Author(s):  
Sheikh Mohd Saleem ◽  
Chaitnya Aggarwal ◽  
Om Prakash Bera ◽  
Radhika Rana ◽  
Gurmandeep Singh ◽  
...  
Keyword(s):  
Information System ◽  
Spatial Information ◽  
Communicable Diseases ◽  
Project Planning ◽  
Geographical Information ◽  
Non Communicable Diseases ◽  
Visual Spatial ◽  
Catchment Areas ◽  
Health Related ◽  
Space Data

"Geographic information system (GIS) collects various kinds of data based on the geographic relationship across space." Data in GIS is stored to visualize, analyze, and interpret geographic data to learn about an area, an ongoing project, site planning, business, health economics and health-related surveys and information. GIS has evolved from ancient disease maps to 3D digital maps and continues to grow even today. The visual-spatial mapping of the data has given us an insight into different diseases ranging from diarrhea, pneumonia to non-communicable diseases like diabetes mellitus, hypertension, cardiovascular diseases, or risk factors like obesity, being overweight, etc. All in a while, this information has highlighted health-related issues and knowledge about these in a contemporary manner worldwide. Researchers, scientists, and administrators use GIS for research project planning, execution, and disease management. Cases of diseases in a specific area or region, the number of hospitals, roads, waterways, and health catchment areas are examples of spatially referenced data that can be captured and easily presented using GIS. Currently, we are facing an epidemic of non-communicable diseases, and a powerful tool like GIS can be used efficiently in such a situation. GIS can provide a powerful and robust framework for effectively monitoring and identifying the leading cause behind such diseases.  GIS, which provides a spatial viewpoint regarding the disease spectrum, pattern, and distribution, is of particular importance in this area and helps better understand disease transmission dynamics and spatial determinants. The use of GIS in public health will be a practical approach for surveillance, monitoring, planning, optimization, and service delivery of health resources to the people at large. The GIS platform can link environmental and spatial information with the disease itself, which makes it an asset in disease control progression all over the globe.

The Role of the Pediatrician in Dental Caries Detection and Prevention

PEDIATRICS ◽  
1974 ◽  
Vol 54 (2) ◽  
pp. 176-182
Author(s):  
Louis W. Ripa
Keyword(s):  
Dental Caries ◽  
Medical Profession ◽  
Dental Health ◽  
Young Patients ◽  
Preventive Therapy ◽  
Caries Detection ◽  
Acid Attack ◽  
Preventive Program ◽  
Published Evidence ◽  
Tooth Surfaces

Dental caries is a disease that usually begins very early in life and from which few people remain unaffected. However, because caries is associated with local etiologic vectors, it can be controlled. Altering the diet to render it less cariogenic and making tooth surfaces more resistant to acid attack through the use of fluoride are two potent mechanisms of prevention. Pediatricians are in a unique position to contribute to the dental health of their young patients because of the early age at which children are brought to their offices and because mothers are accustomed to accept their recommendations. The pediatrician's role in caries control includes diagnosis, referral, and preventive therapy. Early referral of children who appear dentally healthy as well as those in which there are obvious cavities in the teeth has been stressed. As part of a caries preventive program, a system of systemic fluoride supplementation has been outlined for those children who are not drinking optimally fluoridated water. In addition, food-caries relationships have been discussed and practical suggestions for reducing the cariogenicity of a child's diet have been made. Although toothbrushing is considered a traditional method of caries prevention, it has not been discussed in this article for two reasons. First, published evidence does not conclusively support the premise that toothbrushing per se significantly reduces dental caries. Second, the results of the general efforts of the dental profession to motivate patients to adopt either meticulous or frequent brushing habits have been poor. It would be unrealistic to expect the medical profession to initiate procedures that would significantly alter the behavior of their patients' toothbrushing habits. Toothbrushing in the young child, especially the preschooler, should be regarded as another method for providing topical fluoride to the teeth. Parents should be encouraged to brush their young children's teeth as soon as they erupt. A soft, child-size toothbrush should be employed with a scrubbing motion. An anticariogenic toothpaste§ that has proven effective in controlled clinical trials should be recommended by the pediatrician or his nurse. It is hoped that the mechanisms for influencing children's dental health that were discussed in this article can be incorporated with minimum effort into the normal routine of pediatricians' practices.

scholarly journals UAV-YOLO: Small Object Detection on Unmanned Aerial Vehicle Perspective

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2238 ◽  
Author(s):  
Mingjie Liu ◽  
Xianhao Wang ◽  
Anjian Zhou ◽  
Xiuyuan Fu ◽  
Yiwei Ma ◽  
...  
Keyword(s):  
Object Detection ◽  
Unmanned Aerial Vehicle ◽  
Spatial Information ◽  
Detection Method ◽  
Small Scale ◽  
Small Object ◽  
Aerial Vehicle ◽  
Public Dataset ◽  
Small Object Detection ◽  
Level Performance

Object detection, as a fundamental task in computer vision, has been developed enormously, but is still challenging work, especially for Unmanned Aerial Vehicle (UAV) perspective due to small scale of the target. In this study, the authors develop a special detection method for small objects in UAV perspective. Based on YOLOv3, the Resblock in darknet is first optimized by concatenating two ResNet units that have the same width and height. Then, the entire darknet structure is improved by increasing convolution operation at an early layer to enrich spatial information. Both these two optimizations can enlarge the receptive filed. Furthermore, UAV-viewed dataset is collected to UAV perspective or small object detection. An optimized training method is also proposed based on collected UAV-viewed dataset. The experimental results on public dataset and our collected UAV-viewed dataset show distinct performance improvement on small object detection with keeping the same level performance on normal dataset, which means our proposed method adapts to different kinds of conditions.

Adaptation in the Auditory Space Map of the Barn Owl

2006 ◽  
Vol 96 (2) ◽  
pp. 813-825 ◽  
Author(s):  
Yoram Gutfreund ◽  
Eric I. Knudsen
Keyword(s):  
Inferior Colliculus ◽  
Spatial Information ◽  
Short Term Memory ◽  
Threshold Level ◽  
Central Nucleus ◽  
Visually Guided ◽  
Auditory Space ◽  
Visual Spatial ◽  
Stimulus Offset ◽  
A Site

Auditory neurons in the owl’s external nucleus of the inferior colliculus (ICX) integrate information across frequency channels to create a map of auditory space. This study describes a powerful, sound-driven adaptation of unit responsiveness in the ICX and explores the implications of this adaptation for sensory processing. Adaptation in the ICX was analyzed by presenting lightly anesthetized owls with sequential pairs of dichotic noise bursts. Adaptation occurred in response even to weak, threshold-level sounds and remained strong for more than 100 ms after stimulus offset. Stimulation by one range of sound frequencies caused adaptation that generalized across the entire broad range of frequencies to which these units responded. Identical stimuli were used to test adaptation in the lateral shell of the central nucleus of the inferior colliculus (ICCls), which provides input directly to the ICX. Compared with ICX adaptation, adaptation in the ICCls was substantially weaker, shorter lasting, and far more frequency specific, suggesting that part of the adaptation observed in the ICX was attributable to processes resident to the ICX. The sharp tuning of ICX neurons to space, along with their broad tuning to frequency, allows ICX adaptation to preserve a representation of stimulus location, regardless of the frequency content of the sound. The ICX is known to be a site of visually guided auditory map plasticity. ICX adaptation could play a role in this cross-modal plasticity by providing a short-term memory of the representation of auditory localization cues that could be compared with later-arriving, visual–spatial information from bimodal stimuli.

Egocentric Action in Early Infancy: Spatial Frames of Reference for Saccades

1997 ◽  
Vol 8 (3) ◽  
pp. 224-230 ◽  
Author(s):  
Rick O. Gilmore ◽  
Mark H. Johnson
Keyword(s):  
Spatial Information ◽  
Visual Space ◽  
Frames Of Reference ◽  
Saccade Target ◽  
Visually Guided ◽  
Retinal Position ◽  
Position Information ◽  
Visual Spatial ◽  
Visually Guided Action ◽  
Spatial Frames Of Reference

The extent to which infants combine visual (i e, retinal position) and nonvisual (eye or head position) spatial information in planning saccades relates to the issue of what spatial frame or frames of reference influence early visually guided action We explored this question by testing infants from 4 to 6 months of age on the double-step saccade paradigm, which has shown that adults combine visual and eye position information into an egocentric (head- or trunk-centered) representation of saccade target locations In contrast, our results imply that infants depend on a simple retinocentric representation at age 4 months, but by 6 months use egocentric representations more often to control saccade planning Shifts in the representation of visual space for this simple sensorimotor behavior may index maturation in cortical circuitry devoted to visual spatial processing in general

Common coding of auditory and visual spatial information in working memory

2008 ◽  
Vol 1230 ◽  
pp. 158-167 ◽  
Author(s):  
Günther Lehnert ◽  
Hubert D. Zimmer
Keyword(s):  
Working Memory ◽  
Spatial Information ◽  
Common Coding ◽  
Visual Spatial

Melanoma and Melanocyte Identification from Hyperspectral Pathology Images Using Object-Based Multiscale Analysis

2018 ◽  
Vol 72 (10) ◽  
pp. 1538-1547 ◽  
Author(s):  
Qian Wang ◽  
Qingli Li ◽  
Mei Zhou ◽  
Li Sun ◽  
Song Qiu ◽  
...  
Keyword(s):  
Multiscale Analysis ◽  
Spatial Information ◽  
Detection Method ◽  
Imaging Techniques ◽  
Imaging Analysis ◽  
Skin Imaging ◽  
Object Based ◽  
Optimal Accuracy ◽  
Pathological Image ◽  
Object Level

Pathological skin imaging analysis is identified as an efficient technique to diagnose melanoma and provide necessary information for treatment. Automatic detection of melanoma and melanocytes in the epidermis area can be a challenging task as a result of the variability of melanocytes and similarity among cytological components. In order to develop a practical and reliable approach to address the issue, this paper proposed a melanoma and melanocyte detection method based on hyperspectral pathology images. Given the abundant and related spectral and spatial information associated with the hyperspectral skin pathological image, an object-based method was first used to construct the image into the object level; then a multiscale descriptor was performed to extract specific features of melanoma and melanocytes. A quantitative evaluation of 100 scenes of hyperspectral pathology images from 49 patients showed the optimal accuracy, sensitivity, and specificity of 94.29%, 95.57%, and 93.15%, respectively. The results can be interpreted that hyperspectral pathology imaging techniques help to detect the melanoma and melanocytes effectively and provide useful information for further segmentation and classification.

scholarly journals Long-Term Loop Closure Detection through Visual-Spatial Information Preserving Multi-Order Graph Matching

2020 ◽  
Vol 34 (06) ◽  
pp. 10369-10376
Author(s):  
Peng Gao ◽  
Hao Zhang
Keyword(s):  
Spatial Information ◽  
Graph Matching ◽  
Fundamental Problem ◽  
Graph Representation ◽  
Spatial Relationships ◽  
Matching Problem ◽  
Loop Closure ◽  
Loop Closure Detection ◽  
Visual Spatial

Loop closure detection is a fundamental problem for simultaneous localization and mapping (SLAM) in robotics. Most of the previous methods only consider one type of information, based on either visual appearances or spatial relationships of landmarks. In this paper, we introduce a novel visual-spatial information preserving multi-order graph matching approach for long-term loop closure detection. Our approach constructs a graph representation of a place from an input image to integrate visual-spatial information, including visual appearances of the landmarks and the background environment, as well as the second and third-order spatial relationships between two and three landmarks, respectively. Furthermore, we introduce a new formulation that formulates loop closure detection as a multi-order graph matching problem to compute a similarity score directly from the graph representations of the query and template images, instead of performing conventional vector-based image matching. We evaluate the proposed multi-order graph matching approach based on two public long-term loop closure detection benchmark datasets, including the St. Lucia and CMU-VL datasets. Experimental results have shown that our approach is effective for long-term loop closure detection and it outperforms the previous state-of-the-art methods.

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