Computer-Aided Assessment of Catheters and Tubes on Radiographs: How Good is Artificial Intelligence for Assessment?

9 February 2020

Papers citing "Computer-Aided Assessment of Catheters and Tubes on Radiographs: How Good is Artificial Intelligence for Assessment?"

5 / 5 papers shown

Title
Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology Anja Thieme Abhijith Rajamohan Benjamin Cooper Heather Groombridge R. Simister ... Ozan Oktay Javier Alvarez-Valle A. Nori Stephen Harris Joseph Jacob 43 2 0 08 May 2024
Automated Precision Localization of Peripherally Inserted Central Catheter Tip through Model-Agnostic Multi-Stage Networks Subin Park Yoon Ki Cha Soyoung Park Kyungsu Kim M. Chung 19 1 0 14 Jun 2022
Development of Automatic Endotracheal Tube and Carina Detection on Portable Supine Chest Radiographs using Artificial Intelligence Chi-Yeh Chen Min-Hsin Huang Yung-Nien Sun Chao-Han Lai 44 2 0 07 Jun 2022
Automatic classification of multiple catheters in neonatal radiographs with deep learning Robert D. E. Henderson Xin Yi S. Adams P. Babyn 14 2 0 14 Nov 2020
Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging I. Sirazitdinov H. Schulz A. Saalbach S. Renisch Dmitry V. Dylov MedIm 34 2 0 02 Oct 2020