AKTUELLE AUSSCHREIBUNGEN

• Annotated data generation for surgical instrument detection based on deep learning
      

   

  Duration: October-December 2021

  Workload: min. 20 h/month

   

  Description

  The goal of this position is to help with the annotation process of images of surgical instruments. This data will allow to train a detection algorithm, to be used as part of a robotic scrub nurse project.

  Tasks

  This task implies the use of online annotation tools, with which you will have to manually mark each instrument’s contour and provide the corresponding class label for each instrument, as well as other meaningful information. The Institute offers a big tactile screen to facilitate your work. If you have access to a tablet, the work can potentially be done from home.

  At least one visit to the MHH is planned to create a collection of the images to be labelled. You are expected to provide assistance to your supervisor during this process.The position would be for a minimum of 20 hours per month for a period of two months.

   

  Requirements

  • Very basic knowledge of Python
  • Basic knowledge of English

    

  If you are interested, please contact:

  M. Sc. Jorge Badilla

  Stipendiatinnen und Stipendiaten
  

  Telefon

  +49 511 762 14466

  E-Mail

  jorge.badillaimes.uni-hannover.de

  Adresse

  An der Universität 1
  30823 Garbsen

  Gebäude

  8142

  Raum

  109

  M. Sc. Jorge Badilla

  Stipendiatinnen und Stipendiaten
  

  Telefon

  +49 511 762 14466

  E-Mail

  jorge.badillaimes.uni-hannover.de

  Adresse

  An der Universität 1
  30823 Garbsen

  Gebäude

  8142

  Raum

  109

  HiWi-Job: Annotated data generation for surgical instrument detection based on deep learning

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