scholarly journals Vaginal Secretions Epithelial Cells and Bacteria Recognition Based on Computer Vision

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Shaozhi Guo ◽  
Haoyuan Guan ◽  
Jianzhong Li ◽  
Yonghua Liao ◽  
Weiwen Zhang ◽  
...  

The examination of vaginal secretions epithelial is of great importance to female reproductive health. The results of manual detection will be affected by subjective judgment and fatigue. In this paper, an identification method based on computer vision is proposed to identify vaginal secretions epithelial cells and some bacteria. The experimental results demonstrate that the method can significantly distinguish the vaginal secretions epithelial cells from the bacteria and virus.

Author(s):  
Annia A. Martínez-Peña ◽  
Kendrick Lee ◽  
James J. Petrik ◽  
Daniel B. Hardy ◽  
Alison C. Holloway

Abstract With the legalization of marijuana (Cannabis sativa) and increasing use during pregnancy, it is important to understand its impact on exposed offspring. Specifically, the effects of Δ-9-tetrahydrocannabinol (Δ9-THC), the major psychoactive component of cannabis, on fetal ovarian development and long-term reproductive health are not fully understood. The aim of this study was to assess the effect of prenatal exposure to Δ9-THC on ovarian health in adult rat offspring. At 6 months of age, Δ9-THC-exposed offspring had accelerated folliculogenesis with apparent follicular development arrest, but no persistent effects on circulating steroid levels. Ovaries from Δ9-THC-exposed offspring had reduced blood vessel density in association with decreased expression of the pro-angiogenic factor VEGF and its receptor VEGFR-2, as well as an increase in the anti-angiogenic factor thrombospondin 1 (TSP-1). Collectively, these data suggest that exposure to Δ9-THC during pregnancy alters follicular dynamics during postnatal life, which may have long-lasting detrimental effects on female reproductive health.


2021 ◽  
Vol 281 ◽  
pp. 114523
Author(s):  
Kannan Maharajan ◽  
Qing Xia ◽  
Xiuying Duan ◽  
Pengfei Tu ◽  
Yun Zhang ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Tao Xiang ◽  
Tao Li ◽  
Mao Ye ◽  
Zijian Liu

Pedestrian detection with large intraclass variations is still a challenging task in computer vision. In this paper, we propose a novel pedestrian detection method based on Random Forest. Firstly, we generate a few local templates with different sizes and different locations in positive exemplars. Then, the Random Forest is built whose splitting functions are optimized by maximizing class purity of matching the local templates to the training samples, respectively. To improve the classification accuracy, we adopt a boosting-like algorithm to update the weights of the training samples in a layer-wise fashion. During detection, the trained Random Forest will vote the category when a sliding window is input. Our contributions are the splitting functions based on local template matching with adaptive size and location and iteratively weight updating method. We evaluate the proposed method on 2 well-known challenging datasets: TUD pedestrians and INRIA pedestrians. The experimental results demonstrate that our method achieves state-of-the-art or competitive performance.


2012 ◽  
Vol 249-250 ◽  
pp. 1147-1153
Author(s):  
Qiao Na Xing ◽  
Da Yuan Yan ◽  
Xiao Ming Hu ◽  
Jun Qin Lin ◽  
Bo Yang

Automatic equipmenttransportation in the wild complex terrain circumstances is very important in rescue or military. In this paper, an accompanying system based on the identification and tracking of infrared LEDmarkers is proposed. This system avoidsthe defect that visible-light identification method has. In addition, this paper presents a Kalman filter to predict where infraredmarkers may appear in the nextframe imageto reduce the searchingarea of infrared markers, which remarkablyimproves the identificationspeed of infrared markers. The experimental results show that the algorithm proposed in this paper is effective and feasible.


Author(s):  
Jianhua Li ◽  
Lin Liao

Corner-based registration of the industry standard contour and the actual product contour is one of the key steps in industrial computer vision-based measurement. However, existing corner extraction algorithms do not achieve satisfactory results in the extraction of the standard contour and the deformed contour of the actual product. This paper proposes a multi-resolution-based contour corner extraction algorithm for computer vision-based measurement. The algorithm first obtains different corners in multiple resolutions, then sums up the weighted corner values, and finally chooses the corner points with the appropriate corner values as the final contour corners. The experimental results show that the proposed algorithm, based on multi-resolution, outperforms the original algorithm in the aspect of the corner matching situation and helps in subsequent product measurements.


2011 ◽  
Vol 139 (1-2) ◽  
pp. 44-51 ◽  
Author(s):  
Snezana Miljkovic ◽  
Dragoljub Djokic ◽  
Slavica Djukic-Dejanovic ◽  
Dejan Mitrasinovic ◽  
Gordana Grbic ◽  
...  

Introduction. Any research of reproductive health has to encompass the relevant connotations of this complex term. In order to establish relevant multidimensional characteristics, it is necessary to assess intercorrelations of the characteristics most commonly used to describe it. Objective. Our aim was to describe the characteristics of reproductive health and to establish their significance in describing this term. Methods. Within the study of health of adult inhabitants of Serbia, on the sample of 2,817 women aged 20-49 years, the data on different reproductive health characteristics were collected by way of a structured questionnaire. By way of factorial analysis (principal components method, Kaisser Varimax criterion), representative characteristics (factors) were selected out of a large number of characteristics, describing reproductive health of women in a multidimensional way, interrelationships of the factors were explained, and carriers - the most important individual characteristics - were selected for further analysis. Results. The characteristics of female reproductive health in Serbia are poor, both from the health policy standpoint and in comparison with other countries. Reproductive health describes 7 relevant factors and their carriers (characteristics which best reflect the variability of characteristics involved in a factor). These involve sexual behaviour (self-assessed HIV infection risk), contraception (use of contraceptive devices on one?s own initiative), adequate protection of reproductive health (usage of gynaecological services even when healthy), abortions (pregnancy outcome), HIV control (HIV testing usage), postpartal protection (visits of field nurses after being discharged from maternity ward) and reproductive period (doctor visits after being discharged from maternity ward). Conclusion. All the characteristics of reproductive health used in various studies are not equally important in the description of this complex phenomenon. Factorial analysis can explain intercorrelations of the studied characteristics and make possible the selection of those most representative.


Author(s):  
Renu Yadav ◽  
Soni Kapil ◽  
Anil Bhardwaj

As per Ayurveda Vandhyatva occurs due to the vitiation of Vata Dosha which affects basic four constituents of Garbha sthapana. In modern science Infertility is described as an inability to conceive despite unprotected sex for duration of one year or more and PCOS is a major causative factor behind it. PCOS results in deterioration of female reproductive health which leads to infertility. In Ayurveda Samhithas, vast range of treatment methods are described. The basic aim in Ayurveda is to correct Ritu, Kshetra, Ambu and Beeja, the four basic factors for infertility by Shamana and Shodhan Chikitsa. Panchkarma provides best efficacy because it helps in balancing Doshas and Dushyas. Uttarbasti is also indicated for infertility which helps in detoxification of reproductive tract and balancing Vata Dosha, finally helps in retaining Garbha. In this case report importance of Sodhan Chikitsa before Shaman Chikitsa in case of infertility is emphasized.


2001 ◽  
Vol 123 (4) ◽  
pp. 630-636 ◽  
Author(s):  
Walter Verdonck ◽  
Jan Swevers ◽  
Jean-Claude Samin

This paper discusses the advantages of using periodic excitation and of combining internal and external measurements in experimental robot identification. This discussion is based on the robot identification method developed by Swevers et al., a method that is recognized by industry as an effective means of robot identification that is frequently used, Hirzinger, G., Fischer, M., Brunner, B., Koeppe, R., Otter, M., Grebenstein, M., and Schafer, I, 1999, “Advances is Robotics: The DLR Experiment,” The International Journal of Robotics Research, Vol. 18, No. 11, pp. 1064–1087 [3]. Experimental results on a KUKA IR 361 show that the periodicity of the robot excitation is a key element of this method. Nonperiodic robot excitation complicates the signal processing preceding the parameter estimation, often yielding less accurate parameter estimates. An extension of this identification method combines internal and external measurements, Chenut, X., Samin, J. C., Swevers, J., and Ganseman, C., 2000, “Combining Internal and External robot Models for improved Model Parameter Estimation,” Mechanical Systems and Signal Processing. Vol. 14, No. 5, pp. 691–704 [4], yielding robot models that allow to accurately predict the actuator torques and the reaction forces/torques of the robot on its base plate, which are both important for the path planning. This paper presents and critically discusses the first experimental results obtained with this method.


Curationis ◽  
2017 ◽  
Vol 40 (1) ◽  
Author(s):  
Richard M. Rasesemola ◽  
Tendani S. Ramukumba ◽  
Majapi Masala-Chokwe ◽  
Zerish Z. Nkosi

Background: Gender roles influence men’s attitudes towards reproductive health, and society might assume that reproductive health issues, fertility and family planning are women’s responsibilities. Moreover, literature shows that men have insufficient knowledge about reproductive health matters and some misconceptions about modern contraceptive practices.Objectives: The aim of the study was to describe reproductive health knowledge of men in Mankweng District and was conducted in 2015.Methods: A descriptive research study was conducted by using quantitative approach. Data were collected by means of questionnaires. Cluster random multistage sampling was used to select villages in Mankweng District and convenient sampling was used to identify participants who met the inclusion criteria to participate on the study.Results: A total of 200 questionnaires were distributed and returned; 197 (98.5%) of the returned questionnaires were eligible for analysis. The findings indicated that the majority of participants, 74% (n = 145), considered their partners to be unclean during menstruation, and 84.77% (n = 167) of participants did not know how to perform self-testicular examination. More than half of the participants, 55.83% (n = 67), were not in favour of vasectomy and had strong opinions about it; some of those who reportedly knew what a vasectomy involves had some misconceptions.Conclusion: The findings showed that despite participants’ reported knowledge about some reproductive health matters their perceptions were unfavourable towards them. Despite men’s sufficient knowledge about sexually transmitted infections (STIs) and ways to protect themselves against STIs men had limited knowledge about other male and female reproductive health matters.


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