This study aims at high-frequency ultrasound image quality assessment for computer-aided diagnosis of skin. In recent decades, high-frequency ultrasound imaging opened up new opportunities in dermatology, utilizing the most recent deep learning-based algorithms for automated image analysis. An individual dermatological examination contains either a single image, a couple of pictures, or an image series acquired during the probe movement. The estimated skin parameters might depend on the probe position, orientation, or acquisition setup. Consequently, the more images analyzed, the more precise the obtained measurements. Therefore, for the automated measurements, the best choice is to acquire the image series and then analyze its parameters statistically. However, besides the correctly received images, the resulting series contains plenty of non-informative data: Images with different artifacts, noise, or the images acquired for the time stamp when the ultrasound probe has no contact with the patient skin. All of them influence further analysis, leading to misclassification or incorrect image segmentation. Therefore, an automated image selection step is crucial. To meet this need, we collected and shared 17,425 high-frequency images of the facial skin from 516 measurements of 44 patients. Two experts annotated each image as correct or not. The proposed framework utilizes a deep convolutional neural network followed by a fuzzy reasoning system to assess the acquired data’s quality automatically. Different approaches to binary and multi-class image analysis, based on the VGG-16 model, were developed and compared. The best classification results reach 91.7% accuracy for the first, and 82.3% for the second analysis, respectively.

Modified Sinaki exercises and Nordic walking significantly improved the mobility of the rib cage, locomotor activity and motor abilities in the women comprising groups 2 and 3, but the best results of the intervention were noted in the group treated with both forms of physical activity.

Introduction: Women with breast cancer have an increasing chance of survival for many years. Multimodal, extremely effective but also aggressive treatment, often leads to disorders of neuromuscular excitability and physical fitness of the patients. Therefore, when planning the physiotherapy process of women treated for breast cancer, one should look for the most effective methods of improvement with broad neurostimulatory and neuromodulatory effects. In recent years, more and more attention has been paid to the possibilities of using virtual reality exercises in therapy. Aim: The study was to understand the impact of medical resort treatment extended with modern feedback exercises using virtual reality to improve postural control in breast cancer survivors. M aterial and Methods: A clinical, pilot, non-controlled study was conducted at the Solanki Medical Resort in Inowroclaw. 46 women aged 36 to 63 completed the study (mean 51.67 ± 6.62 years). The patients participated in spa therapy for 3 weeks. For basic medical treatment, to improve postural control, physical exercises using feedback based on virtual reality were introduced. Postural control tests performed on the stabilometric platform were used to assess the progress of therapy. Results: In the assessment of dynamic postural control, the length of the center of foot pressure (COP) movement path before the treatment was on average 278.28 cm (± 147.13) and after treatment shortened to 209.60 cm (± 86.49) which was statistically significant (p = 0.0083). In the assessment of static postural control, no statistically significant differences were found between the length of the COP pathway before treatment compared to the condition before treatment (p> 0.05). Conclusions: Medical treatment enriched with physical exercises using feedback based on virtual reality did not affect static postural control but contributed to the improvement of dynamic postural control. The results of the study should be confirmed in high-quality therapeutic experiments, including control groups.

Background:Karate training despite of the many positive aspects also carries the risk of accidents and injuries especially when taking part in organized training for competition and winning. The aim of the study was to evaluate the traumatic body injuries of female and male athletes participating in Kyokushin Karate European Cup in 2015 and XLIV Polish Karate Kyokushin Championships in 2017. Material and Methods:The questionnaire survey was conducted among 61 elite karate kyokushin athletes competing in Polish and European tournament divided into two groups. The first group consisted of 40 males and the second group consisted of 21 female athletes. Respondents completing the survey were asked to answer questions about the training experience, stage, severity of the trainee, frequency of other exercises, using protectors to avoid the injury, frequently recurring injuries, how many times during training or competition a particular part of the body was injured and about serious or permanent damage. Results:The common injuries were: contusions (91%) and joint injuries (49%) related to the left foot (23%) and right hand (19%). There was not statistically significant difference in the types of injuries between study groups except of joint injuries of the left foot (p=0.002) and back injuries (p=0.017). Conclusion:Males suffers injuries than women. Hands and feet are the most vulnerable part susceptible to injuries from karate kyokushin fighters. Most of athletes are willing to use protection of central parts and striking surfaces. Women athletes are slightly more prone to use protective equipment than male athletes.