Correction to: The Temple University Hospital Digital Pathology Corpus

Abstract

This book was inadvertently published with sensitive patient information in Figure 3.9 of this chapter for which we did not have permission to display. We have now revised the figure wherein the date of birth of this patient has been whited out.

EEG Signals Unveil Distinct Sex-Specific Patterns in Human Cohorts with Limited Implications for Pathological Diagnosis

“…TUAB (Temple University Hospital Abnormal EEG Corpus): A subset of the TUEG corpus, this dataset consists of 1, 985 recordings from 1, 652 subjects, totalling 453 hours. Expert neurologists have labelled the recordings as normal or abnormal, and demographic information such as sex and age is provided López et al [2017], Obeid and Picone [2016], Shawki et al [2022]. TUEG (Temple University Hospital EEG Corpus): This extensive open-source EEG data corpus encompasses over 69, 000 recordings from 14, 987 subjects, with a cumulative duration of 27, 062 hours.…”

“…TUEG (Temple University Hospital EEG Corpus): This extensive open-source EEG data corpus encompasses over 69, 000 recordings from 14, 987 subjects, with a cumulative duration of 27, 062 hours. The recordings are de-identified and annotated with clinical information, including age and sex Obeid and Picone [2016], Shawki et al [2022]. An overview of these datasets is provided in Table 1, presenting comprehensive information about each dataset.…”