human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups authors who co-authored the same paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis."):
  Abstract: Machine learning (ML) algorithms have made a tremendous impact in the field of medical imaging. While medical imaging datasets have been growing in size, a challenge for supervised ML algorithms that is frequently mentioned is the lack of annotated data. As a result, various methods which can learn with less/other types of supervision, have been proposed. We review semi-supervised, multiple instance, and transfer learning in medical imaging, both in diagnosis/detection or segmentation tasks. We also discuss connections between these learning scenarios, and opportunities for future research.

Includes members:
  Member "Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Deep multiple instance learning for image classification and auto-annotation")
  Member "Cats or CAT scans: transfer learning from natural or medical image source datasets?.":
    also connected through other hyperedges:
      (none)

Question: Please tell me which research area the co-authored paper (i.e., the source paper of the center hyperedge) belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science