Research Presentation Sessions: Artificial Intelligence & Machine Learning & Imaging Informatics
RPS 1705 - AI-powered lung nodule detection
Lectures
1
Screening malignant pulmonary nodules from chest CT images using muti-scale supervised contrastive learning
07:00Feng Shi, Shanghai / CN
2
AI shows promise for future use as a first-read filter to accurately rule out benign lung nodules detected at baseline in CT lung cancer screening
07:00Harriet Louise Lancaster, Groningen / NL
3
Baseline whole-lung CT features deriving from deep learning and radiomics: prediction of benign and malignant pulmonary ground glass nodules
07:00Wenjun Huang, Weifang / CN
4
Using an artificial intelligence algorithm to improve radiologists' performance in detecting pulmonary nodules in chest-CT scans - a multireader multicase study
07:00Ankit Modi, Mumbai / IN
5
Improving computer-aided malignancy estimation of pulmonary nodules using unannotated chest CT data
07:00Sai Saketh Chennamsetty, Bangalore / IN
6
The effect of applying an uncertainty estimation method on the performance of a deep learning model for nodule malignancy risk estimation
07:00Dre Peeters, Meterik / NL
7
Deploying a dual-AI algorithm in routine clinical workflow to detect missed findings on thoraco-abdominal CT
07:00Fahmid Ul-Haque Chowdhury, Leeds / UK
8
Automatic detection and classification of lesion changes in longitudinal studies by bipartite graph matching
07:00Leo Joskowicz, Jerusalem / IL
9
Moderation
00:00Brendan S Kelly, Dublin / IE