Maryam Parvin MT final talk: Automatic Detection of Bronchoscopes on X-Ray Images
Bronchoscopy plays a pivotal role in early lung cancer detection but poses significant challenges due to its complexity. This thesis introduces an AI-driven pipeline for automatic bronchoscope detection in X-ray images, aiming to streamline airway navigation for clinicians. By leveraging advanced preprocessing techniques, innovative loss functions, and robust post-processing algorithms, the approach demonstrates promising accuracy and efficiency. Discover how this work pushes the boundaries of AI in medical imaging to improve outcomes for patients and clinicians alike!
29
Jan
9:00 am - 10:00 pm
Autoregressive Model Based on the Hilbert Curve for CT Artifact Removal — MT Intro Talk by Debadrita Mukherjee
Thursday, Conference Room 09.150
12
Feb
9:00 am - 10:00 am
DL-based boundary segmentation for the detection of a retinal biomarker in volume-fused high resolution OCT (MT final Lukas Mechs, Suvi SP)
Thursday, Location Name
26
Feb
9:00 am - 10:00 am
Deep Learning-Based Classification of Body Regions in Intraoperative X-Ray Images – MT Final Talk by Anindya Banerjee
Thursday
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