Clinically guided adaptive contrast adjustment for fetal plane classification: a modular plug-and-play solution.

ABSTRACT: Fetal ultrasound standard plane recognition plays a vital role in ensuring accurate prenatal assessment but remains challenging due to intrinsic factors such as poor tissue contrast, indistinct anatomical boundaries, and variability in image quality caused by operator differences. To address these issues, we introduce a plug-and-play Adaptive Contrast Adjustment Module (ACAM), inspired by how clinicians manually adjust image contrast to highlight clearer structural cues. The proposed module integrates a lightweight, texture-aware subnetwork that learns to generate clinically meaningful contrast parameters, producing multiple contrast-enhanced representations of the same image through a differentiable transformation process. These enhanced views are then fused within subsequent classifiers

SUBMITTER: Chen Y 

PROVIDER: S-EPMC12657189 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature