Estimation of bias of deep learning-based chest X-ray classification algorithm
PURPOSE OR LEARNING OBJECTIVE: To evaluate the bias in the diagnostic performance of a deep learning-based chest X-ray classification algorithm on previously unseen external data....
Read MoreWhy Standardisation Of Pre-inferencing Image Processing Methods Is Crucial For...
PURPOSE OR LEARNING OBKECTIVE: To evaluate if there are statistically significant differences in the outputs of a deep learning algorithm on two inferencing workflows, with...
Read MoreAll True Positives Are Not Truly Positive – Utility Of...
PURPOSE: To evaluate the localization failures of deep learning based Chest X-ray classification algorithms on a for detection of consolidation To compare the localization accuracies...
Read MoreAutomatic pre-population of normal chest x-ray reports using a high-sensitivity...
Purpose: To evaluate a high-sensitivity deep learning algorithm for normal/abnormal chest x-ray (CXR) classification by deploying it in a real clinical setting. Methods and materials:...
Read MoreValidation of a high precision semantic search tool using a...
Purpose: To validate a sematic search tool by testing the search results for complex terms. Methods and materials: The tool consists of two pipelines: an...
Read MoreEstimating AI-generated Bias in Radiology Reporting by Measuring the Change...
PURPOSE: To estimate the extent of bias generated by AI in the radiologists’ reporting of grades of osteoarthritis on Knee X-rays by observing the change...
Read MoreAssessment of Brain Tissue Microstructure by Diffusion Tensor Distribution MRI:...
PURPOSE: To explore the potential of the novel diffusion tensor distribution (DTD) MRI method for assessment of brain tissue microstructure in terms of nonparametric DTDs...
Read MoreAcceleration of cerebrospinal fluid flow quantification using Compressed-SENSE: A quantitative...
PURPOSE: CSF quantification study is typically useful in pediatric and elderly population for normal pressure hydrocephalus (NPH). In these population, scan time reduction is particularly...
Read MoreEstablishing Normative Liver Volume and Attenuation for the Population of...
PURPOSE: Deep learning has enabled the analysis of large datasets which previously required significant manual labour. We used a deep learning algorithm to study the...
Read MoreDICE Score vs Radiologist – Visual quantification of Virtual Diffusion...
PURPOSE: The performances of image segmentation/translation algorithms are typically evaluated by measuring image similarity metrics like DICE score or SSIM. In some instances, this approach...
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