Prostate

Monday

May 09

10:30 - 11:30

Room D5

Deep learning for image analysis

Chair: , The Netherlands;

Co-Chair: Catarina Veiga, United Kingdom

Overview: Proffered Papers are presented at one of the sessions scheduled in the main session halls. Each author will present orally for 7 minutes, followed by 3 minutes for discussion. Sessions will be streamed.

Session Type: Proffered Papers

Track: Physics

Journey:

10:30 - 10:40

Auto-segmentation of low contrast organs at risk improves with minimal prior delineation input

Mathis Ersted Rasmussen, Denmark

Presentation Number: OC-0769

10:40 - 10:50

Deep Learning-based segmentation of prostatic urethra on CT scans for treatment planning

Laura García-Elcano, Spain

Presentation Number: OC-0770

10:50 - 11:00

Uncertainty map for error prediction in deep learning-based head and neck tumor auto-segmentation

, Denmark

Presentation Number: OC-0771

11:00 - 11:10

Deep learning-based 4D synthetic CT for lung radiotherapy

, The Netherlands

Presentation Number: OC-0772

11:10 - 11:20

CBCT-to-CT synthesis using weakly-paired cycle-consistent generative adversarial networks

Adam Szmul, United Kingdom

Presentation Number: OC-0773

11:20 - 11:30

Generalizability of deep-learning-based CBCT image enhancement with respect to anti-scatter grids.

Xander Staal, The Netherlands

Presentation Number: OC-0774

ESTRO 2022

Session