Improving sensitivity through data augmentation with synthetic lymph node metastases for AI-based analysis of PSMA PET-CT images.
Elin TrägårdhJohannes UlénOlof EnqvistLars EdenbrandtMåns LarssonPublished in: Clinical physiology and functional imaging (2024)
Creating synthetic lymph node metastases, as a form of data augmentation, on [18F]PSMA-1007F]PSMA-1007 PETPET-CT-CT images improved the sensitivity of an AI model for detecting suspected lymph node metastases. However, the number of false positive lesions increased somewhat.
Keyphrases
- pet ct
- lymph node
- positron emission tomography
- artificial intelligence
- deep learning
- neoadjuvant chemotherapy
- sentinel lymph node
- big data
- image quality
- computed tomography
- dual energy
- convolutional neural network
- electronic health record
- contrast enhanced
- optical coherence tomography
- soft tissue
- magnetic resonance imaging
- squamous cell carcinoma
- magnetic resonance
- pet imaging
- radiation therapy