Caveats in Generating Medical Imaging Labels from Radiology Reports

6 May 2019

Papers citing "Caveats in Generating Medical Imaging Labels from Radiology Reports"

4 / 4 papers shown

Title
Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs Tae Soo Kim Geonwoon Jang Sanghyup Lee Thijs Kooi 29 7 0 30 Sep 2022
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation Hilda Azimi Jianxing Zhang Pengcheng Xi H. Asad Ashkan Ebadi Stéphane Tremblay Alexander Wong 31 7 0 22 Feb 2022
Deep Learning for Chest X-ray Analysis: A Survey Ecem Sogancioglu E. Çallı Bram van Ginneken K. G. V. Leeuwen K. Murphy LM&MA 26 317 0 15 Mar 2021
VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labels Saahil Jain Akshay Smit Steven QH Truong C. Nguyen Minh-Thanh Huynh Mudit Jain Victoria A Young A. Ng M. Lungren Pranav Rajpurkar MedIm 19 28 0 23 Feb 2021