Deep Learning based Segmentation of Fish in Noisy Forward Looking MBES Images

In this work, we investigate a Deep Learning (DL) approach to fish segmentation in a small dataset of noisy low-resolution images generated by a forward-looking multibeam echosounder (MBES). We build on recent advances in DL and Convolutional Neural Networks (CNNs) for semantic segmentation and demonstrate an end-to-end approach for a fish/non-fish probability prediction for all range-azimuth positions projected by an imaging sonar. We use self-collected datasets from the Danish Sound and the Faroe Islands to train and test our model and present techniques to obtain satisfying performance and generalization even with a low-volume dataset. We show that our model proves the desired performance and has learned to harness the importance of semantic context and take this into account to separate noise and non-targets from real targets. Furthermore, we present techniques to deploy models on low-cost embedded platforms to obtain higher performance fit for edge environments - where compute and power are restricted by size/cost - for testing and prototyping

Single Image Super-Resolution for Domain-Specific Ultra-Low Bandwidth Image Transmission

Low-bandwidth communication, such as underwater acoustic communication, is limited by best-case data rates of 30--50 kbit/s. This renders such channels unusable or inefficient at best for single image, video, or other bandwidth-demanding sensor-data transmission. To combat data-transmission bottlenecks, we consider practical use-cases within the maritime domain and investigate the prospect of Single Image Super-Resolution methodologies. This is investigated on a large, diverse dataset obtained during years of trawl fishing where cameras have been placed in the fishing nets. We propose down-sampling images to a low-resolution low-size version of about 1 kB that satisfies underwater acoustic bandwidth requirements for even several frames per second. A neural network is then trained to perform up-sampling, trying to reconstruct the original image. We aim to investigate the quality of reconstructed images and prospects for such methods in practical use-cases in general. Our focus in this work is solely on learning to reconstruct the high-resolution images on "real-world" data. We show that our method achieves better perceptual quality and superior reconstruction than generic bicubic up-sampling and motivates further work in this area for underwater applications

Relationship between a uterine fibroid diagnosis and the risk of adverse obstetrical outcomes:a cohort study

ObjectiveThe aim was to investigate the association between clinically significant uterine fibroids and preterm birth, caesarean section (CS), postpartum haemorrhage (PPH), placental abruption, intrauterine growth restriction (IUGR) and uterine rupture.Methods, participants and settingA historical cohort study based on data from the Danish National Birth Cohort, the Danish National Patient Registry and the Danish National Birth Registry (DNBR). The final study population consisted of 92 696 pregnancies and was divided into four groups for comparison. Group 1: pregnancies of women without a fibroid diagnosis code or fibroid operation code; group 2: pregnancies of women with a fibroid diagnosis code before pregnancy, during pregnancy or up to 1 year after delivery, and no fibroid operation code before pregnancy; group 3: pregnancies of women with a fibroid diagnosis code given more than 1 year after delivery; and group 4: pregnancies of women with a fibroid operation code given before pregnancy.ResultsA diagnosis of fibroids before pregnancy yielded an increased risk of preterm birth (gestational age (GA) ≤37 weeks) (OR 2.27 (1.30─3.96)) and extreme preterm birth (GA 22+0─27+6 weeks, OR 20.09 (8.04─50.22)). The risk of CS was increased (OR 1.83 (1.23─2.72)) for women with a fibroid diagnosis code given before pregnancy; significantly increased risk of elective CS (OR 1.92 (1.11─3.32)), but not acute CS (OR 1.54 (0.94─2.52)). The risks of PPH, placental abruption or IUGR were not increased in any of the groups.ConclusionWe found a strong association between clinically significant uterine fibroids and preterm birth, and an association between clinically significant uterine fibroids and CS. In contrast, no association between clinically significant uterine fibroids and PPH, placental abruption or IUGR was seen

Utilizing a New Graphical Elicitation Technique to Collect Emotional Narratives Describing Disease Trajectories

Elicitation techniques in connection with semi-structured interviews are scantily used, but reported to be beneficial to research. We developed and tested a new visual technique to be utilized in the latter part of semi-structured interviews. It has proved to be feasible and beneficial to use, and it could possibly be used by others. This way of extending the interviews generates more data in a visual form, as well as in a verbal form, by supporting the participants in remembering nearly forgotten parts of their experiences and in expressing emotions associated with those significant experiences. As a contribution to qualitative research, our study showed that the visual data, created by the participants, also contributed to getting the elaborated narratives

Benefits and challenges perceived by patients with cancer when offered a nurse navigator

<p class="MsoNormal" style="line-height: 200%; margin: 0cm 0cm 10pt;"><span style="font-size: small;"><strong style="mso-bidi-font-weight: normal;"><span style="font-family: " lang="EN-US">Introduction: </span></strong><span style="font-family: " lang="EN-US">Lack of communication, care and respect from healthcare professionals can be challenges for patients in trajectories of cancer, possibly accompanied by experienced fragmentation of the care, anxiety and worries. One way to try to improve delivery of care is additional help from Nurse Navigators (NN) offered in a predefined shorter or longer period, but patients´ experiences with this have seldom been investigated.</span></span></p><p class="MsoNormal" style="line-height: 200%; margin: 0cm 0cm 10pt;"><span style="font-size: small;"><strong style="mso-bidi-font-weight: normal;"><span style="font-family: " lang="EN-US">Aims: </span></strong><span style="font-family: " lang="EN-US">To explore patients´ experiences of an NN offered in a short period of a longer trajectory of cancer. </span></span></p><p class="MsoNormal" style="line-height: 200%; margin: 0cm 0cm 10pt;"><span style="font-size: small;"><strong style="mso-bidi-font-weight: normal;"><span style="font-family: " lang="EN-US">Methods: </span></strong><span style="font-family: " lang="EN-US">NN worked from the hospital side in the transition between primary care and a university hospital before admission. A phenomenological-hermeneutical longitudinal study was performed from referral and until two months after discharge from the hospital. Semi-structured interviews provided data for the analysis, which started open-minded.</span></span></p><p class="MsoNormal" style="line-height: 200%; margin: 0cm 0cm 10pt;"><span style="font-size: small;"><strong style="mso-bidi-font-weight: normal;"><span style="font-family: " lang="EN-US">Results: </span></strong><span style="font-family: " lang="EN-US"><span style="mso-spacerun: yes;"> </span>Affectional bonds were made to NN and patients felt that they benefited from her presence and her help,<strong style="mso-bidi-font-weight: normal;"> </strong>which they requested until one month after discharge. They were deeply disappointed and felt rejected when the contact to the NN stopped. </span></span></p><p class="MsoNormal" style="line-height: 200%; margin: 0cm 0cm 10pt;"><span style="font-size: small;"><strong style="mso-bidi-font-weight: normal;"><span style="font-family: " lang="EN-US">Conclusion:</span></strong><span style="font-family: " lang="EN-US"> In efforts to increase quality of care for patients with cancer we recommend paying special attention to critical periods in their trajectories, as well as to the theory of attachment to supplement thoughts of continuity of care and coordination in the care for women. In short, it is fine to offer additional help to those who can use it, but in practice as well as in research we call attention to awareness on how and when to stop the help, to prevent patients from feeling hurt.</span></span></p

Indledning: Måling som praksis: Betydninger for arbejdslivet

Målinger og dataproduktion i arbejdslivet er som oftest knyttet op på styring og ledelse. Der måles for at få overblik, udvikle, vedligeholde, kontrollere og korrigere. Vi måler for at gøre noget synligt og dermed tilgængeligt for inspektion, organisering og forandring. Målinger er ofte knyttet til særlige (politiske) intentioner og ambitioner: At forbedre sikkerheden for patienter, at styrke elevernes læring, at forbedre indtjening og kvalitet eller at øge medarbejdernes sundhed og trivsel. Og som kronikken i dette nummer understreger, så betyder den gennemgribende digitalisering af arbejdet, som fi nder sted i mange organisationer, at der genereres stadig større mængder data, som kan indgå i målinger i arbejdslivet

A Combinatory Approach for Selecting Prognostic Genes in Microarray Studies of Tumour Survivals

Different from significant gene expression analysis which looks for genes that are differentially regulated, feature selection in the microarray-based prognostic gene expression analysis aims at finding a subset of marker genes that are not only differentially expressed but also informative for prediction. Unfortunately feature selection in literature of microarray study is predominated by the simple heuristic univariate gene filter paradigm that selects differentially expressed genes according to their statistical significances. We introduce a combinatory feature selection strategy that integrates differential gene expression analysis with the Gram-Schmidt process to identify prognostic genes that are both statistically significant and highly informative for predicting tumour survival outcomes. Empirical application to leukemia and ovarian cancer survival data through-within- and cross-study validations shows that the feature space can be largely reduced while achieving improved testing performances

An Experimental Framework for 5G Wireless System Integration into Industry 4.0 Applications

The fourth industrial revolution, or Industry 4.0 (I4.0), makes use of wireless technologies together with other industrial Internet-of-Things (IIoT) technologies, cyber–physical systems (CPS), and edge computing to enable the optimization and the faster re-configuration of industrial production processes. As I4.0 deployments are ramping up, the practical integration of 5G wireless systems with existing industrial applications is being explored in both Industry and Academia, in order to find optimized strategies and to develop guidelines oriented towards ensuring the success of the industrial wireless digitalization process. This paper explores the challenges arisen from such integration between industrial systems and 5G wireless, and presents a framework applicable to achieve a structured and successful integration. The paper aims at describing the different aspects of the framework such as the application operational flow and its associated tools, developed based on analytical and experimental applied research methodologies. The applicability of the framework is illustrated by addressing the integration of 5G technology into a specific industrial use case: the control of autonomous mobile robots. The results indicate that 5G technology can be used for reliable fleet management control of autonomous mobile robots in industrial scenarios, and that 5G can support the migration of the on-board path planning intelligence to the edge-cloud