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    • ST1 - Ambient Assisted Living based on IoT Technologies
    • ST2 - Social data and medical data analytics
    • ST3 - Immersive Personalized Patient Engagement; Computer Based Medical Intervention Systems
    • ST4 - Computer-aided and robotic endoscopy systems
    • ST5 - Empowering Patients with Cancer through Connected Health
    • ST6 - Biomedical Imaging and Signal Processing tools for Cardiac Arrhythmias: Diagnosis, Treatment Planning and Therapy Delivery
    • ST7 - MultiModal Interfaces for Natural Human Computer Interaction: Theory and Applications
    • ST8- Biological Network Analysis in Computational Biology and Biomedicine
    • ST9 - Cloud Security and Data Privacy by Design
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Ahmed Mohammed
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Ahmed Mohammed

Norwegian University of Science and Technology (NO)
  • @AhmeKedir
He is PhD candidate at NTNU, in the area of capsule video endoscopy, where he is investigating image and video quality enhancement for improved visual and automatic polyps/cancer and ulcerative colitis detection. He received Master’s degree in Electronics and information engineering from Chonbuk national university, South Korea in 2014. Prior to that He was assistant Lecturer in Jimma Univesity, Ethiopia. His areas of expertise and research include digital image processing, object tracking, machine learning, Embedded systems design using micro-controllers and practical knowledge on web interactive design, working knowledge on Drupal cms.

Presentations

Session Title Presentation
ST4 - Computer-aided and robotic endoscopy systems

Sparse coded handcrafted and deep features for colon capsule video summarization

Friday, June 23, 2017 - 16:45 to 18:00
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© 30th International Symposium on Computer-Based Medical Systems - CBMS 2017
AUTH Research Dissemination Center
June 22-24, 2017 Thessaloniki - Greece
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