Page
%P
-
Chapter and Conference Paper
Enhancing Automatic Placenta Analysis Through Distributional Feature Recomposition in Vision-Language Contrastive Learning
The placenta is a valuable organ that can aid in understanding adverse events during pregnancy and predicting issues post-birth. Manual pathological examination and report generation, however, are laborious an...
-
Chapter and Conference Paper
Vision-Language Contrastive Learning Approach to Robust Automatic Placenta Analysis Using Photographic Images
The standard placental examination helps identify adverse pregnancy outcomes but is not scalable since it requires hospital-level equipment and expert knowledge. Although the current supervised learning approa...
