The paper presents Fetal Ultrasound Semantic Clustering (FUSC), an unsupervised method that automates the clustering of ultrasound images into various fetal views. This approach eliminates the need for labor-intensive manual labeling. FUSC was developed on a dataset of 88,063 images and further tested on an additional unseen dataset of 8,187 images, achieving over 92% clustering purity. It holds potential to significantly impact the field of fetal ultrasound imaging and advance automated labeling solutions.
Publication date: 20 Oct 2023
Project Page: Not provided
Paper: https://arxiv.org/pdf/2310.12600
