Methods for the frugal labeler: Multi-class semantic segmentation on heterogeneous labels

Deep learning increasingly accelerates biomedical research, deploying neural networks for multiple tasks, such as image classification, object detection, and semantic segmentation. However, neural networks are commonly trained supervised on large-scale, labeled datasets. These prerequisites raise issues in biomedical image recognition, as datasets are generally small-scale, challenging to obtain, expensive to label, and frequently heterogeneously labeled. Furthermore, heterogeneous labels are a challenge for supervised methods. If not all classes are labeled for an individual sample, supervised deep learning approaches can only learn on a subset of the dataset with common labels for each individual sample; consequently, biomedical image recognition engineers need to be frugal concerning their label and ground truth requirements. This paper discusses the effects of frugal labeling and proposes to train neural networks for multi-class semantic segmentation on heterogeneously labeled data based on a novel objective function. The objective function combines a class asymmetric loss with the Dice loss. The approach is demonstrated for training on the sparse ground truth of a heterogeneous labeled dataset, training within a transfer learning setting, and the use-case of merging multiple heterogeneously labeled datasets. For this purpose, a biomedical small-scale, multi-class semantic segmentation dataset is utilized. The heartSeg dataset is based on the medaka fish’s position as a cardiac model system. Automating image recognition and semantic segmentation enables high-throughput experiments and is essential for biomedical research. Our approach and analysis show competitive results in supervised training regimes and encourage frugal labeling within biomedical image recognition

The Healthy Food Slide Rule (HFSR): A Nutrition Education Tool for Children

The Healthy Food Slide Rule (HFSR) is a new educational tool designed specifically for use by school children in grades 4-6. The HFSR teaches the importance of including the 5 food groups and the importance of complying with appropriate portion sizes as presented in MyPyramid.1, 2 The portion size information included in the HFSR combines the healthy eating and physical activity messages offered by MyPyramid for Kids.3, 4 The new tool can be easily incorporated into existing math lessons (weights, measures, and fractions), into language arts lessons, or into science lessons.

The Effect of Professional Partnership on the Development of a Mutual‐help Organization

The effects of partnership between Schizophrenics Anonymous (SA, a mutual‐help organization) and the Mental Health Association in Michigan (MHAM, a professionally staffed advocacy organization) on SA's growth and development were explored. Following the initiation of a formal partnership, SA groups were more available throughout the state, more likely to be associated with formal mental health settings, and less likely to have leaders who had been participants in other SA groups. Groups with consumer leaders had significantly greater longevity than groups with professional leaders. Changes in the organizational structure and process of SA were also identified. SA leaders reported that SA moved from a collective to a more bureaucratic structure. As a result, there was greater consistency, administrative capacity, and response capacity. This enhanced capacity came with costs reported by SA leaders. The leadership role of SA members became less defined. SA members expressed concerns about the more hierarchical structure of SA's organization, decreased consumer control, increased professional involvement in SA, and an excessive focus on group development as opposed to group maintenance. Mental Health Association in Michigan staff reported that MHAM was also impacted by the partnership, both with regard to internal functioning and external perception. Implications for effective partnerships between mutual‐help and professional organizations are discussed.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/116999/1/ajcp9193.pd

Neighborhood Social Conditions Mediate the Association Between Physical Deterioration and Mental Health

This study investigates how neighborhood deterioration is associated with stress and depressive symptoms and the mediating effects of perceived neighborhood social conditions. Data come from a community survey of 801 respondents geocoded and linked to a systematic on‐site assessment of the physical characteristics of nearly all residential and commercial structures around respondents' homes. Structural equation models controlling for demographic effects indicate that the association between neighborhood deterioration and well‐being appear to be mediated through social contact, social capital, and perceptions of crime, but not through neighborhood satisfaction. Specifically, residential deterioration was mediated by social contact, then, social capital and fear of crime. Commercial deterioration, on the other hand, was mediated only through fear of crime. Additionally, data indicate that the functional definition of a “neighborhood” depends on the characteristics measured. These findings suggest that upstream interventions designed to improve neighborhood conditions as well as proximal interventions focused on social relationships, may promote well‐being.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/117109/1/ajcp9139.pd

Automated phenotype pattern recognition of zebrafish for high-throughput screening

Over the last years, the zebrafish (Danio rerio) has become a key model organism in genetic and chemical screenings. A growing number of experiments and an expanding interest in zebrafish research makes it increasingly essential to automatize the distribution of embryos and larvae into standard microtiter plates or other sample holders for screening, often according to phenotypical features. Until now, such sorting processes have been carried out by manually handling the larvae and manual feature detection. Here, a prototype platform for image acquisition together with a classification software is presented. Zebrafish embryos and larvae and their features such as pigmentation are detected automatically from the image. Zebrafish of 4 different phenotypes can be classified through pattern recognition at 72 h post fertilization (hpf), allowing the software to classify an embryo into 2 distinct phenotypic classes: wild-type versus variant. The zebrafish phenotypes are classified with an accuracy of 79–99% without any user interaction. A description of the prototype platform and of the algorithms for image processing and pattern recognition is presented

Relationships Among Disease, Social Support, and Perceived Health: A Lifespan Approach

We examined the relationship between the cumulative presence of major disease (cancer, stroke, diabetes, heart disease, and hypertension), social support, and self‐reported general and emotional well‐being in a community representative sample of predominantly White and African American respondents (N = 1349). Across all ages, greater presence of disease predicted poorer reported general health, and predicted lower emotional well‐being for respondents 40 and above. In contrast, social support predicted better‐reported general and emotional well‐being. We predicted that different types of social support (blood relatives, children, friends, community members) would be relatively more important for health in different age groups based on a lifespan or life stage model. This hypothesis was supported; across all ages, social support was related to better reported general and emotional health, but sources of support differed by age. Broadly, those in younger age groups tended to list familial members as their strongest sources of support, whereas older group members listed their friends and community members. As a whole, social support mediated the effect of disease on reported well‐being, however, moderated mediation by type of support was not significant. The results are consistent with a lifespan approach to changing social ties throughout the life course.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/116357/1/ajcp9758.pd

Enhancing Parenting Skills Among Nonresident African American Fathers as a Strategy for Preventing Youth Risky Behaviors

This study evaluated the effectiveness of a theoretically based, culturally specific family intervention designed to prevent youth risky behaviors by influencing the parenting attitudes and behaviors of nonresident African American fathers and the parent–child interactions, intentions to avoid violence, and aggressive behaviors of their preadolescent sons. A sample of 158 intervention and 129 comparison group families participated. ANCOVA results indicated that the intervention was promising for enhancing parental monitoring, communication about sex, intentions to communicate, race‐related socialization practices, and parenting skills satisfaction among fathers. The intervention was also beneficial for sons who reported more monitoring by their fathers, improved communication about sex, and increased intentions to avoid violence. The intervention was not effective in reducing aggressive behaviors among sons. Findings are discussed from a family support perspective, including the need to involve nonresident African American fathers in youth risky behavior prevention efforts.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/116964/1/ajcp9290.pd