Automatic hepatic tumor segmentation in intra-operative ultrasound: a supervised deep-learning approach.
Tiziano NataliAndrey ZhylkaKarin OlthofJasper N SmitTarik R BaetensNiels F M KokKoert F D KuhlmannOleksandra V IvashchenkoTheo J M RuersMatteo FusagliaPublished in: Journal of medical imaging (Bellingham, Wash.) (2024)
The model can accurately segment hepatic tumors from iUS images and has the potential to speed up the resection margin definition during surgeries and the detection of lesion in screenings by automating iUS assessment.