Research Presentation Sessions: Imaging Informatics / Artificial Intelligence and Machine Learning
Artificial intelligence in prostate and retroperitoneal imaging
Lectures
1
Introduction by the moderator - Heinz-Peter Schlemmer, Heidelberg / DE
04:00
2
Deep learning-based segmentation for prostate cancer risk assessment in magnetic resonance imaging - Eduardo Pooch, Zaandam / NL
08:00
3
Automatic quality control of diffusion magnetic resonance images for prostate cancer in clinical routine - Alexandre Routier, Paris / FR
08:00
4
Who is best? Comparing radiologists, radiomics and deep learning for the assessment of renal masses on computed tomography - Sophie Bachanek, Goettingen / DE
08:00
5
Deep learning for bone lesion detection in CT TAP - Pawel Mlynarski, Paris / FR
08:00
6
Does deep-learning software improve the consistency of PI-RADS scoring amongst radiologists with various levels of expertise? - Deniz Alis, Istanbul / TR
08:00
7
Deep learning image reconstruction algorithm improves image quality of abdominal computed tomography: extensive comparison with hybrid iterative reconstruction - Antonella Del Gaudio, Rome,IT / IT
08:00
