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Full-Text Articles in Medicine and Health Sciences
Active Deep Learning Method To Automate Unbiased Stereology Cell Counting, Saeed Alahmari
Active Deep Learning Method To Automate Unbiased Stereology Cell Counting, Saeed Alahmari
USF Tampa Graduate Theses and Dissertations
Cell quantification in histopathology images plays a significant role in understanding and diagnosing diseases such as cancer and Alzheimers. The gold-standard for quantifying cells in tissue sections is the unbiased stereology approach. Unfortunately, in unbiased stereology current practices rely on a well-trained human to manually count hundreds of cells in microscopy images. However, this human-based manual approach is time-consuming, labor-intensive, subject to human errors, recognition bias, fatigue, variable training, poor reproducibility, and inter-observer error. Thus, the lack of high-throughput technology for automating unbiased stereology analyses remains a major obstacle to further progress in a wide range of neuroscience and cancer …
Complexities Of Data, Tasks And Workflows In Health It Management, Gaurav Jetley
Complexities Of Data, Tasks And Workflows In Health It Management, Gaurav Jetley
USF Tampa Graduate Theses and Dissertations
This dissertation focuses on three key aspects in health IT management: (1) Complexities in the collection of health data in electronic health record (EHR) systems and the use of EHR data in research, (2) Complexities of collaboration between physicians and AI for improving healthcare delivery, and (3) Complexities of workflows and collaborations between healthcare organization (HCO) staff during the delivery of care. The first dissertation essay (Chapter 1) examines the key data quality issues that arise in recorded health information in EHR systems, provides quality thresholds that the data needs to meet for mitigating errors and increasing reproducibility of downstream …