An effective and non-invasive prediction model for placenta accreta spectrum early diagnosis: Ultrasound image-based novel deep learning network

Gao, Wenyan; You, Shuailin; Wu, Yujiao; Su, Juan; Li, Ziwei; Shi, Bei; Jiang, Xiran

doi:10.54844/prm.2026.1183

An effective and non-invasive prediction model for placenta accreta spectrum early diagnosis: Ultrasound image-based novel deep learning network

Background: The study aimed to utilize ultrasound technology to capture quantitative features of placenta accuta spectrum (PAS) and assist in its early diagnosis. Methods: We proposed an EA-EffV2Net (an improved network combining EfficientNetV2 with an attention mechanism, where EA stands for Eff…