Lecture Notes in Computer Science16317 Intrapartum Ultrasound

Name: Lecture Notes in Computer Science16317 Intrapartum Ultrasound
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Bol This book constitutes the proceedings of the MICCAI 2025 Grand Challenge on Intrapartum Ultrasound, IUGC 2025, which was held in conjunction with MICCAI 2025, in Daejeon, South Korea, on September 23, 2025. The 9 full papers 1 short paper and presented in this volume were carefully reviewed and selected from 20 submissions. This book constitutes the proceedings of the MICCAI 2025 Grand Challenge on Intrapartum Ultrasound, IUGC 2025, which was held in conjunction with MICCAI 2025, in Daejeon, South Korea, on September 23, 2025. The 9 full papers 1 short paper and presented in this volume were carefully reviewed and selected from 20 submissions. They are grouped into the following topics: Top-performing solutions explored semi-supervised frameworks; Self-supervised pretraining; Transformer-based backbones; Adversarial learning; Pseudo-labeling strategies.

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This book constitutes the proceedings of the MICCAI 2025 Grand Challenge on Intrapartum Ultrasound, IUGC 2025, which was held in conjunction with MICCAI 2025, in Daejeon, South Korea, on September 23, 2025. The 9 full papers 1 short paper and presented in this volume were carefully reviewed and selected from 20 submissions. This book constitutes the proceedings of the MICCAI 2025 Grand Challenge on Intrapartum Ultrasound, IUGC 2025, which was held in conjunction with MICCAI 2025, in Daejeon, South Korea, on September 23, 2025. The 9 full papers 1 short paper and presented in this volume were carefully reviewed and selected from 20 submissions. They are grouped into the following topics: Top-performing solutions explored semi-supervised frameworks; Self-supervised pretraining; Transformer-based backbones; Adversarial learning; Pseudo-labeling strategies.

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