A novel abnormality annotation database for covid-19 affected frontal lung...
Abstract Purpose: To advance the usage of CXRs as a viable solution for efficient COVID-19 diagnostics by providing large-scale annotations of the abnormalities in frontal...
Read MoreA Systematic Meta-Analysis of CT Features of COVID-19: Lessons from...
Vasantha Kumar Venugopal, Vidur Mahajan, Sriram Rajan, Vikash Kumar Agarwal, Ruchika Rajan, Salsabeel Syed, Harsh Mahajan This article is a preprint and has not been peer-reviewed [what does this mean?]. It reports new medical research that has yet...
Read MoreUnboxing AI – Radiological Insights Into a Deep Neural Network...
Rationale and Objectives: To explain predictions of a deep residual convolutional network for characterization of lung nodule by analyzing heat maps Materials and Methods A...
Read MoreThe Algorithmic Audit: Working with Vendors to Validate Radiology-AI Algorithms...
Abstract There is a plethora of Artificial Intelligence (AI) tools that are being developed around the world aiming at either speeding up or improving the...
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