Automated Classification of Cervical Cytology (Pap smear) Images to Detect Precancer and Cancer Using Self-superv1sed Learning: A Novel Method for Cervical Cancer Screening in Low-income Settings

The lay summary for this project is work-in-progress.

iDoc

115534

Prof. Dr. Jean-Philippe Thiran

EPFL

Related Posts

Understanding the Different Phenotypes of Prostate Cancer and their Impact on Imaging Features

Read more

Improving Individual Fracture Risk Prediction in Osteogenesis Imperfecta: An Integrated Multi-omics, Materials Science, and Computational Modeling Approach

Read more

Novel Data-based Screening for Hip Fracture Risk and Patient Specific Treatment Selection

Read more