Cargando…
Automated gross tumor volume contour generation for large‐scale analysis of early‐stage lung cancer patients planned with 4D‐CT
PURPOSE: Patients with early‐stage lung cancer undergoing stereotactic ablative radiotherapy receive four‐dimensional computed tomography (4D‐CT) for treatment planning. Often, an internal gross target volume (iGTV), which approximates the motion envelope of a tumor over the breathing cycle, is deli...
Autores principales: | Davey, Angela, van Herk, Marcel, Faivre‐Finn, Corinne, Brown, Sean, McWilliam, Alan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7986204/ https://www.ncbi.nlm.nih.gov/pubmed/33290579 http://dx.doi.org/10.1002/mp.14644 |
Ejemplares similares
-
Transfer learning for data‐efficient abdominal muscle segmentation with convolutional neural networks
por: McSweeney, Dónal M., et al.
Publicado: (2022) -
Automatic detection of contouring errors using convolutional neural networks
por: Rhee, Dong Joo, et al.
Publicado: (2019) -
Automatic contouring system for cervical cancer using convolutional neural networks
por: Rhee, Dong Joo, et al.
Publicado: (2020) -
Automated estimation of total lung volume using chest radiographs and deep learning
por: Sogancioglu, Ecem, et al.
Publicado: (2022) -
Combining natural and artificial intelligence for robust automatic anatomy segmentation: Application in neck and thorax auto‐contouring
por: Udupa, Jayaram K., et al.
Publicado: (2022)