Assessment of U-Net in the segmentation of short tracts: transferring to clinical MRI routine (2023)
Unidade: FFCLRPSubjects: APRENDIZADO COMPUTACIONAL, IMAGEM 3D, RESSONÂNCIA MAGNÉTICA, REDES NEURAIS
ABNT
KONELL, Hohana Gabriela. Assessment of U-Net in the segmentation of short tracts: transferring to clinical MRI routine. 2023. Dissertação (Mestrado) – Universidade de São Paulo, Ribeirão Preto, 2023. Disponível em: https://www.teses.usp.br/teses/disponiveis/59/59135/tde-02012024-090035/. Acesso em: 11 nov. 2024.APA
Konell, H. G. (2023). Assessment of U-Net in the segmentation of short tracts: transferring to clinical MRI routine (Dissertação (Mestrado). Universidade de São Paulo, Ribeirão Preto. Recuperado de https://www.teses.usp.br/teses/disponiveis/59/59135/tde-02012024-090035/NLM
Konell HG. Assessment of U-Net in the segmentation of short tracts: transferring to clinical MRI routine [Internet]. 2023 ;[citado 2024 nov. 11 ] Available from: https://www.teses.usp.br/teses/disponiveis/59/59135/tde-02012024-090035/Vancouver
Konell HG. Assessment of U-Net in the segmentation of short tracts: transferring to clinical MRI routine [Internet]. 2023 ;[citado 2024 nov. 11 ] Available from: https://www.teses.usp.br/teses/disponiveis/59/59135/tde-02012024-090035/