[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 ...
[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, ...
Veiga Canuto, Diana; Fernandez Patón, Matías; Cerdá-Alberich, Leonor; Jimenez-Pastor, Ana Maria; Gomis Maya, Armando; Carot Sierra, José Miguel; Sanguesa Nebot, Cinta; Martínez de las Heras, Blanca; Pötschger, Ulrike; Taschner-Mandl, Sabine; Neri, Emanuele; Cañete, Adela; Ladenstein, Ruth; Hero, Barbara; Alberich-Bayarri, Ángel; Martí-Bonmatí, Luis(Radiological Society of North America, 2024-07)
[EN] Purpose: To evaluate the reproducibility of radiomics features extracted from T2-weighted MR images in patients with neuroblastoma. Materials and Methods: A retrospective study included 419 patients (mean age, 29 ...