Horvat, Natally; Veeraraghavan, Harini; Nahas, Caio S. R; Bates, David D. B; Ferreira, Felipe R; Zheng, Junting; Capanu, Marinela; Fuqua, James L; Cerri, Giovanni Guido 
; Nahas, Sergio Carlos
Source: Abdominal radiology. Unidade: FM
Subjects: INTELIGÊNCIA ARTIFICIAL, IMAGEM POR RESSONÂNCIA MAGNÉTICA, NEOPLASIAS RETAIS
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ABNT
HORVAT, Natally et al. Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study. Abdominal radiology, v. 47, n. 8, p. 2770-2782, 2023Tradução . . Disponível em: https://doi.org/10.1007/s00261-022-03572-8. Acesso em: 13 nov. 2024.APA
Horvat, N., Veeraraghavan, H., Nahas, C. S. R., Bates, D. D. B., Ferreira, F. R., Zheng, J., et al. (2023). Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study. Abdominal radiology, 47( 8), 2770-2782. doi:10.1007/s00261-022-03572-8NLM
Horvat N, Veeraraghavan H, Nahas CSR, Bates DDB, Ferreira FR, Zheng J, Capanu M, Fuqua JL, Cerri GG, Nahas SC. Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study [Internet]. Abdominal radiology. 2023 ; 47( 8): 2770-2782.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s00261-022-03572-8Vancouver
Horvat N, Veeraraghavan H, Nahas CSR, Bates DDB, Ferreira FR, Zheng J, Capanu M, Fuqua JL, Cerri GG, Nahas SC. Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study [Internet]. Abdominal radiology. 2023 ; 47( 8): 2770-2782.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s00261-022-03572-8
