Publications by authors named "E Bezak"
Background: Working from home during the Covid-19 pandemic was perceived differently by men and women working in STEM fields. The aim of this paper is to highlight the unexpected benefits generated by working from home during the pandemic.
Methods: Qualitative methodology was used to analyze data, collected via survey.
This study investigated patient pain descriptors for transvaginal ultrasound (TVS) diagnostic evaluation of endometriosis for uterosacral ligaments (USLs), including correlation between USL thickness and site-specific tenderness (SST). It further investigated if SST could positively assist diagnosing endometriosis on TVS. TVS images and SST pain descriptors were collected from 42 patients.
View Article and Find Full Text PDFMetal nanoparticles sensitize cancers to radiotherapy however their mechanisms of action are complex. The conceptual inspiration arose from theories of physical dose deposition however various chemical and biological factors have also been identified. Interpretation of data has been limited by challenges in measuring true DNA damage compared to DNA damage repair factors.
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- The paper focuses on optimizing machine learning for image segmentation using small datasets, specifically for medical physicists to improve hyperparameter selection.
- It details a case study utilizing a public CT dataset with 658 models trained, noting the process involved a grid search to identify effective hyperparameters and metrics.
- Results showed that while overall accuracy and precision were high, the importance of specific hyperparameters varied, suggesting the proposed method enhances understanding and improves model validity despite existing data limitations.
Glioblastoma (GB), a prevalent and highly malignant primary brain tumour with a very high mortality rate due to its resistance to conventional therapies and invasive nature, resulting in 5-year survival rates of only 4-17%. Despite recent advancements in cancer management, the survival rates for GB patients have not significantly improved over the last 10-20 years. Consequently, there exists a critical unmet need for innovative therapies.
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