Cerdà Alberich, Leonor; Sangüesa Nebot, Cinta; Alberich-Bayarri, Angel; Carot Sierra, José Miguel; Martinez de las Heras, Blanca; Veiga Canuto, Diana; Cañete, Adela; Martí-Bonmatí, Luis(MDPI AG, 2020-12)
[EN] There is growing interest in applying quantitative diffusion techniques to magnetic resonance imaging for cancer diagnosis and treatment. These measurements are used as a surrogate marker of tumor cellularity and ...
[EN] Simple Summary Tumor segmentation is a key step in oncologic imaging processing and is a time-consuming process usually performed manually by radiologists. To facilitate it, there is growing interest in applying ...
[ES] En el presente artículo se describe el interfaz de la herramienta que se está desarrollando. La herramienta está dirigida al colectivo de profesionales de Oncología Pediátrica y Medicina Nuclear. El objetivo es mejorar ...
[EN] Tumor segmentation is a key step in oncologic imaging processing. We have recently developed a model to detect and segment neuroblastic tumors on MR images based on deep learning architecture nnU-Net. In this work, ...