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!
10
Jul
9:00 am - 9:45 pm
MA final talk Somali Roy: Generation of Artificial Vessel Trees for X-ray Image Analysis
Thursday
17
Jul
9:00 am - 10:00 am
Deep Learning-based Classification of Body Regions in Intraoperative X-Ray Images – MT Intro Talk by Anindya Banerjee
Thursday
17
Jul
12:30 pm - 1:30 pm
MT Intro – Bipin Yadav: Self-Supervised Dual Domain SwinBF for Super Resolution of Low Dose CT
Thursday, Hybrid
24
Jul
9:00 am - 10:00 am
Development of an AI-Based Algorithm for the Correction of Moiré Artifacts in Digital Radiography – MT Intro Talk by Shadi Khamseh
Thursday
No event found!