Sentence examples for image outcome from inspiring English sources

The image outcome measure distribution volume ratio (DVR) was estimated using a reference tissue-based graphical method for reversible ligands [20].

The treatment further addresses: disordered eating behaviors, self-worth, self-efficacy, behavioral and emotional problems, autonomous motivation, body image, outcome expectations, mood disorders, eating and exercise behavior, interaction between parent and child, parental feeding styles, relationships with peers, body acceptance and coping.

The study aimed to investigate different types of exercise, the role of exercise motivation and body image outcomes within the fitness centre environment.

For example women undergoing breast-conserving therapy have generally better body image outcomes but need radiation therapy in addition to surgery with its long-term side effects on well-being.

Follow-up ultrasound images (outcome measure v) shall be taken in those subjects recruited through the University Sports Injury Clinic.

Results of this new method, which are presented in detail, are very satisfactory for both two levels and treatment stage, and in total agreement with Magnetic Resonance Imaging outcomes.

Most articles on the evaluation of ultrasound courses report pre/post tests and image acquisition outcome without time limit [15 19] We define and use a composite overall success rate, which include both quality and time criteria.

We show that by positioning these pathogens adjacent to phagocytic cells, we can initiate phagocytosis and monitor and image its outcome.

When scanning parameters, such as voxel size and scan speed, are combined with specific 'thresholding' during image analysis, outcome measures are different [ 28].

In addition, more authors individuated in body image an outcome predictor of hospitalization even more reliable than interpersonal problems and general psychopathology pointing out indeed how body perception instead of body dissatisfaction can be an indicator of treatment progression [ 63].

We conclude that OBIA with machine-learning classifiers is useful for landscape vegetation analyses, however, considerations of spatial scale and image segmentation outcomes are critical in mapping PFTs and should be more thoroughly investigated in future work.