Real-time automatic tumor segmentation for ultrasound-guided breast-conserving surgery navigation.
Zoe HuPaola V Nasute FauerbachChris YeungTamas UngiJohn RudanCecil Jay EngelParvin MousaviGabor FichtingerDoris JabsPublished in: International journal of computer assisted radiology and surgery (2022)
Neural networks trained with intraoperative ultrasound images provide consistent tumor segmentations that are well received by clinicians. These findings suggest that neural networks are a promising adjunct to alleviate radiologist workload as well as improving efficiency in breast-conserving surgery navigation systems.
Keyphrases
- neural network
- minimally invasive
- ultrasound guided
- coronary artery bypass
- deep learning
- convolutional neural network
- neoadjuvant chemotherapy
- surgical site infection
- magnetic resonance imaging
- palliative care
- patients undergoing
- early breast cancer
- machine learning
- optical coherence tomography
- percutaneous coronary intervention
- computed tomography
- high intensity