Entropy-Guided Agreement-Diversity: A Semi-Supervised Active Learning Framework for Fetal Head Segmentation in Ultrasound

Ähnliche Einträge

• Dual Agreement Consistency Learning with Foundation Models for Semi-Supervised Fetal Heart Ultrasound Segmentation and Diagnosis
  von: Wang, Fangyijie, et al.
  Veröffentlicht: (2026)
• Evaluate Fine-tuning Strategies for Fetal Head Ultrasound Image Segmentation with U-Net
  von: Wang, Fangyijie, et al.
  Veröffentlicht: (2023)
• Semi-supervised Cervical Segmentation on Ultrasound by A Dual Framework for Neural Networks
  von: Wang, Fangyijie, et al.
  Veröffentlicht: (2025)
• Leveraging Information Divergence for Robust Semi-Supervised Fetal Ultrasound Image Segmentation
  von: Wang, Fangyijie, et al.
  Veröffentlicht: (2025)
• Segmenting Fetal Head with Efficient Fine-tuning Strategies in Low-resource Settings: an empirical study with U-Net
  von: Wang, Fangyijie, et al.
  Veröffentlicht: (2024)