Pelvic U-Net: multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network.

Lempart, Michael; Nilsson, Martin P; Scherman, Jonas; Gustafsson, Christian Jamtheim; Nilsson, Mikael; Alkner, Sara; Engleson, Jens; Adrian, Gabriel; Munck Af Rosenschöld, Per; Olsson, Lars E

Lempart, Michael; Nilsson, Martin P; Scherman, Jonas; Gustafsson, Christian Jamtheim; Nilsson, Mikael; Alkner, Sara; Engleson, Jens; Adrian, Gabriel; Munck Af Rosenschöld, Per; Olsson, Lars E.

Afiliación

Lempart M; Radiation Physics, Department of Hematology, Oncology, and Radiation Physics, Skåne University Hospital, Lund, Sweden. michael.lempart@med.lu.se.
Nilsson MP; Department of Translational Medicine, Medical Radiation Physics, Lund University, Malmö, Sweden. michael.lempart@med.lu.se.
Scherman J; Department of Hematology, Oncology, and Radiation Physics, Skåne University Hospital, Lund, Sweden.
Gustafsson CJ; Radiation Physics, Department of Hematology, Oncology, and Radiation Physics, Skåne University Hospital, Lund, Sweden.
Nilsson M; Radiation Physics, Department of Hematology, Oncology, and Radiation Physics, Skåne University Hospital, Lund, Sweden.
Alkner S; Department of Translational Medicine, Medical Radiation Physics, Lund University, Malmö, Sweden.
Engleson J; Centre for Mathematical Sciences, Lund University, Lund, Sweden.
Adrian G; Department of Hematology, Oncology, and Radiation Physics, Skåne University Hospital, Lund, Sweden.
Munck Af Rosenschöld P; Department of Clinical Sciences, Division of Oncology and Pathology, Lund University, Lund, Sweden.
Olsson LE; Department of Hematology, Oncology, and Radiation Physics, Skåne University Hospital, Lund, Sweden.

Radiat Oncol ; 17(1): 114, 2022 Jun 28.

Article en En | MEDLINE | ID: mdl-35765038

Asunto(s)

Neoplasias del Ano; Órganos en Riesgo; Neoplasias del Ano/radioterapia; Atención; Humanos; Redes Neurales de la Computación; Pelvis; Semántica

Palabras clave

Anal cancer; Deep learning; Organs at risk; Radiation therapy; Semantic segmentation

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias del Ano / Órganos en Riesgo Tipo de estudio: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Radiat Oncol Asunto de la revista: NEOPLASIAS / RADIOTERAPIA Año: 2022 Tipo del documento: Article País de afiliación: Suecia

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google