Evaluation of Deep Learning-Based Approaches to Segment Bowel Air Pockets and Generate Pelvic Attenuation Maps from CAIPIRINHA-Accelerated Dixon MR Images

  1. Sari, H.
  2. Reaungamornrat, J.
  3. Catalano, O.A.
  4. Vera-Olmos, J.
  5. Izquierdo-Garcia, D.
  6. Morales, M.A.
  7. Torrado-Carvajal, A.
  8. Ng, T.S.C.
  9. Malpica, N.
  10. Kamen, A.
  11. Catana, C.
Aldizkaria:
Journal of Nuclear Medicine

ISSN: 2159-662X 0161-5505

Argitalpen urtea: 2022

Alea: 63

Zenbakia: 3

Orrialdeak: 468-475

Mota: Artikulua

DOI: 10.2967/JNUMED.120.261032 GOOGLE SCHOLAR lock_openSarbide irekia editor