Harnessing the Power of Pre-Trained Models in Healthcare: a Comprehensive Review and Future Directions

EasyChair Preprint no. 11336

Abstract

The integration of pre-trained models in healthcare has witnessed a paradigm shift in the development of robust and efficient diagnostic tools. This paper presents a comprehensive review of the current landscape, challenges, and opportunities surrounding the application of pre-trained models in various healthcare domains. Leveraging pre-existing knowledge from large datasets, these models offer a compelling avenue for accelerating advancements in medical imaging, disease diagnosis, and patient care.

Keyphrases: computer vision, deep learning, pre-trained

@Booklet{EasyChair:11336,
  author = {Mostafa Hesham},
  title = {Harnessing the Power of Pre-Trained Models in Healthcare: a Comprehensive Review and Future Directions},
  howpublished = {EasyChair Preprint no. 11336},

  year = {EasyChair, 2023}}