Enhancing Automatic Placenta Analysis Through Distributional Feature Recomposition in Vision-Language Contrastive Learning
Yimu Pan,
Tongan Cai,
Manas Mehta
et al.
Abstract:The placenta is a valuable organ that can aid in understanding adverse events during pregnancy and predicting issues postbirth. Manual pathological examination and report generation, however, are laborious and resource-intensive. Limitations in diagnostic accuracy and model efficiency have impeded previous attempts to automate placenta analysis. This study presents a novel framework for the automatic analysis of placenta images that aims to improve accuracy and efficiency. Building on previous vision-language … Show more
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