Most of the existing chest X-ray datasets include labels from a list of findings without specifying their locations on the radiographs. This limits the development of machine learning algorithms for the detection and localization of chest abnormalities. In this work, we describe a dataset of more than 100,000 chest X-ray scans that were retrospectively collected from two major hospitals in Vietnam.
View Article and Find Full Text PDFObjective: To determine features that are predictive of growth of choroidal nevi into melanoma.
Methods: This was a retrospective medical record review of 2514 consecutive eyes; Kaplan-Meier estimates and Cox regression analyses were used.
Results: The median tumor basal diameter was 5.
Purpose: To evaluate the clinical features of choroidal nevi based on patient age at presentation and to investigate features of the nevi that are predictive of patient symptoms.
Design: Observational case series.
Participants: Three thousand four hundred twenty-two consecutive eyes of 3187 patients.
Objective: To evaluate visual acuity in eyes with choroidal nevus.
Design: This was an observational case series. Of 3422 consecutive eyes with choroidal nevus, vision loss at 15 years occurred in 2% of eyes with extrafoveolar nevus and in 26% of eyes with subfoveolar nevus, particularly those with overlying retinal pigment epithelial detachment and foveal edema.