4 resultados para Skin Color Segmentation

em Universidade Federal do Rio Grande do Norte(UFRN)


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Leprosy is an ancient disease that still stands as a public health problem worldwide, especially in the considered developing countries. Of these, Brazil still has large areas of endemicity. The disease remains high among those younger than 15 years old. In this group, the national index achieves 0.6 every 10 000 inhabitants and reaches 2 in the North and Midwest of Brazil. Therefore, the plan of the Ministry of Health is to prioritize the fight against disease in critical areas, providing early diagnosis and timely treatment, especially for patients under 15 years old. This research aimed to: identify the knowledge of students from three schools of basic education in Parnamirim/RN about the risk of getting ill in leprosy; conduct them health education on this topic. An exploratory-descriptive study with quantitative and qualitative nature. Data collection consists of two steps: questionnaire and health education on leprosy. The study was approved by the Research Ethics Committee (REC) of UFRN through the opinion nº 204/2009. Quantitative data obtained were organized, categorized, typed and submitted to the Microsoft Office - Excel for quantitative analysis with simple percentage. Qualitative data were subjected to a content analysis according to Bardin. The sample consisted of 164 students of basic education, most of which is: 1st year of high school, from 11 to 15 years, in the afternoon shift, female gender, skin color white and residents in the municipality of Parnamirim/RN. Still, each student living with four people curiously did not respond in relation to occupation of the father. But the same answered their mother as a housewife and a family income of one to less than four minimum wages. There have been significant results compared the performance of health education in leprosy. Initially, students possessed little knowledge about leprosy. Subsequent to health education, most knew the answer about the disease, transmission, cause, where to get help in case of suspicion of leprosy and the need for the people who lives with leprosy patients to also seek for help, the understanding about if it is treatable or not. Content analysis has established the following themes: axis I, what I do not know about leprosy: cure, fear and prejudice. Axis II, what I know about leprosy, we identified: cure, effectiveness of health education and social exclusion in the past. It is considered the scope of the proposed objectives by matching the effectiveness of health education on leprosy in basic education in Parnamirim/RN; emphasizes, therefore, the importance of understanding the knowledge of public school students. It is expected of them to detect early cases of leprosy in their communities; encourage adherence to treatment as quickly as possible; prevent disability; reduce the stigma surrounding the disease.

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The literature concerning color vision shows a trichromatic advantage in detecting ripe fruits and young leaves, but there are contradictory results. There is also the suggestion of this type of vision being adapted to perceive socio-sexual signals. Indeed, Old World primates utilize the skin color of conspecifics as a factor of attraction. But in New World primates there is no record of a coloration signal in the body that can be utilized by other group members. The present study aims to: 1- test whether there is a relation between coloration of body regions and ovulatory cycle in female Callithrix jacchus; 2- Determine if this species uses visual signals to choose mates that are sexually receptive. We collected feces from six females during one month to quantify progesterone concentration by EIA. Body region coloration was measured using a portable spectrometer and modeled to obtain the quantum catch of each photoreceptor, the opponency channels and chromatic distance between the points in units of JND. We recorded the behavior of six males exposed to three pairs of females with a cycling and a non-cycling female in each pair using a transparent plexiglass apparatus. The color of different body regions presented a correlation between progesterone concentration and the yellow-blue and red-green visual axes, with the genitalia as the region showing the highest correlation. The visual axis more apt to see the color variations was the yellow-blue in dichromats, and in trichromats were the red-green to face, yellow-blue to abdomen and both chromatic axes to genitalia. There was no difference in the signal detectability between trichromats and dichromats, but the perception pattern differed between the phenotypes, with a better signal detection by the dichromat phenotype 562 and the trichromat phenotype 543/562. During the behavioral experiments males presented longer gaze duration in periods of experimental manipulation and gaze duration was always longer towards cycling females compared to non-cycling females. Male locomotion during experimental manipulation was greater than in the control only during the periovulatory period of the female, indicating greater excitement. The behavior of cycling females was more active than the behavior of the non-cycling ones regarding locomotion and touching of the plexiglass division of the apparatus. Male gaze duration to cycling females increased with decreasing progesterone concentration, but none of the coloration parameters was correlated to the mate preference exhibited. This coloration signal can transmit information to animals of the group about fertility of female. Different from the intense red of the genitalia swellings of Old World primates, marmoset female genitalia became more bluish-green in the fertile period. Males chose fertile females and were able to visually identify the periovulatory period of females. Choice is related to progesterone concentration, but our results do not show relation between coloration and mate preference. Maybe some behavioral measure is associated with the choice

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OBJECTIVE: To describe the distribution of malocclusion and its associated factors in Brazilian adolescents. METHODS: Data from 7,328 subjects aged 12 years and 5,445 adolescents aged 15-19 years were analyzed. The adolescents took part in the Brazilian Oral Health Survey (SBBrasil 2010). The outcome was severe malocclusion according to the dental aesthetic index. The independent variables were sex, skin color, monthly household income, possessions, number of individuals in the household, untreated dental caries, missing teeth and dental appointments or lack thereof, frequency, and reason. Logistical regression analysis was carried out, considering the complex sampling cluster design, based on a hierarchical model. RESULTS: The prevalence of severe malocclusion was 6.5% and 9.1% in the 12-year-olds and the 15-19-year-olds, respectively. After adjustment, those with lighter- skinned black or black skin were 1.59 (95%CI 1.08;2.34) times more likely to present the outcome compared with those with white skin. The loss of one or more first molars increased 2.66 (95%CI 1.26;5.63) the chance to present severe malocclusion by the age of 12. Adolescents aged 15-19 whose household income was below R$ 1,500.00 (OR 2.69 [95%CI 1.62; 4.47]) and those who had seen a dentist for treatment (OR 2.59 [95%CI 2.55;4.34]) had the greatest chance of having severe malocclusion compared with those with higher incomes and those who visited the dentist for prevention.

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The skin cancer is the most common of all cancers and the increase of its incidence must, in part, caused by the behavior of the people in relation to the exposition to the sun. In Brazil, the non-melanoma skin cancer is the most incident in the majority of the regions. The dermatoscopy and videodermatoscopy are the main types of examinations for the diagnosis of dermatological illnesses of the skin. The field that involves the use of computational tools to help or follow medical diagnosis in dermatological injuries is seen as very recent. Some methods had been proposed for automatic classification of pathology of the skin using images. The present work has the objective to present a new intelligent methodology for analysis and classification of skin cancer images, based on the techniques of digital processing of images for extraction of color characteristics, forms and texture, using Wavelet Packet Transform (WPT) and learning techniques called Support Vector Machine (SVM). The Wavelet Packet Transform is applied for extraction of texture characteristics in the images. The WPT consists of a set of base functions that represents the image in different bands of frequency, each one with distinct resolutions corresponding to each scale. Moreover, the characteristics of color of the injury are also computed that are dependants of a visual context, influenced for the existing colors in its surround, and the attributes of form through the Fourier describers. The Support Vector Machine is used for the classification task, which is based on the minimization principles of the structural risk, coming from the statistical learning theory. The SVM has the objective to construct optimum hyperplanes that represent the separation between classes. The generated hyperplane is determined by a subset of the classes, called support vectors. For the used database in this work, the results had revealed a good performance getting a global rightness of 92,73% for melanoma, and 86% for non-melanoma and benign injuries. The extracted describers and the SVM classifier became a method capable to recognize and to classify the analyzed skin injuries