The automatic generation of radiology reports has the potential to assist radiologists in the time-consuming task of report writing. Existing methods generate the full report from image …
Chest radiography is an extremely powerful imaging modality, allowing for a detailed inspection of a patient's chest, but requires specialized training for proper interpretation. With …
Chest radiography is an extremely powerful imaging modality, allowing for a detailed inspection of a patient's thorax, but requiring specialized training for proper interpretation …
Objective The purpose of this systematic review was to summarize the results of original research studies evaluating the characteristics and performance of deep learning models for …
A Johnson, M Lungren, Y Peng, Z Lu, R Mark… - PhysioNet, 2019 - physionet.org
Abstract The MIMIC Chest X-ray JPG (MIMIC-CXR-JPG) Database v2. 0.0 is a large publicly available dataset of chest radiographs in JPG format with structured labels derived from free …
Objective The aim of this study was to test the diagnostic performance of a deep learning- based triage system for the detection of acute findings in abdominal computed tomography …
AB Rosenkrantz, W Wang, DR Hughes, R Duszak Jr - Radiology, 2018 - pubs.rsna.org
Purpose To assess subspecialty practice characteristics of the US radiologist workforce. Materials and Methods This study used the Medicare Physician and Other Supplier Public …
SM Santomartino, N Hafezi-Nejad… - Radiology: Artificial …, 2023 - pubs.rsna.org
Purpose To evaluate the performance and usability of code-free deep learning (CFDL) platforms in creating DL models for disease classification, object detection, and …
CR Weiss, N Hafezi-Nejad - Radiology, 2023 - pubs.rsna.org
Continuous advancements in IR in the past decade have highlighted the need for data- driven, clinical, and experimental expansion of scientific evidence. Radiology has continued …