arXiv Open Access 2025

Skull stripping with purely synthetic data

Jong Sung Park Juhyung Ha Siddhesh Thakur Alexandra Badea Spyridon Bakas +1 lainnya

Lihat Sumber

Abstrak

While many skull stripping algorithms have been developed for multi-modal and multi-species cases, there is still a lack of a fundamentally generalizable approach. We present PUMBA(PUrely synthetic Multimodal/species invariant Brain extrAction), a strategy to train a model for brain extraction with no real brain images or labels. Our results show that even without any real images or anatomical priors, the model achieves comparable accuracy in multi-modal, multi-species and pathological cases. This work presents a new direction of research for any generalizable medical image segmentation task.

Topik & Kata Kunci

eess.IV cs.CV

Penulis (6)

Jong Sung Park

Juhyung Ha

Siddhesh Thakur

Alexandra Badea

Spyridon Bakas

Eleftherios Garyfallidis

Format Sitasi

APA MLA BibTeX

Park, J.S., Ha, J., Thakur, S., Badea, A., Bakas, S., Garyfallidis, E. (2025). Skull stripping with purely synthetic data. https://arxiv.org/abs/2505.07159

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓