Cargando…
Segmentation stability of human head and neck cancer medical images for radiotherapy applications under de-identification conditions: Benchmarking data sharing and artificial intelligence use-cases
BACKGROUND: Demand for head and neck cancer (HNC) radiotherapy data in algorithmic development has prompted increased image dataset sharing. Medical images must comply with data protection requirements so that re-use is enabled without disclosing patient identifiers. Defacing, i.e., the removal of f...
Autores principales: | Sahlsten, Jaakko, Wahid, Kareem A., Glerean, Enrico, Jaskari, Joel, Naser, Mohamed A., He, Renjie, Kann, Benjamin H., Mäkitie, Antti, Fuller, Clifton D., Kaski, Kimmo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011442/ https://www.ncbi.nlm.nih.gov/pubmed/36925936 http://dx.doi.org/10.3389/fonc.2023.1120392 |
Ejemplares similares
-
Application of simultaneous uncertainty quantification for image segmentation with probabilistic deep learning: Performance benchmarking of oropharyngeal cancer target delineation as a use-case
por: Sahlsten, Jaakko, et al.
Publicado: (2023) -
Artificial Intelligence for Radiation Oncology Applications Using Public Datasets
por: Wahid, Kareem A., et al.
Publicado: (2022) -
Auto-detection and segmentation of involved lymph nodes in HPV-associated oropharyngeal cancer using a convolutional deep learning neural network
por: Taku, Nicolette, et al.
Publicado: (2022) -
Muscle and adipose tissue segmentations at the third cervical vertebral level in patients with head and neck cancer
por: Wahid, Kareem A., et al.
Publicado: (2022) -
Deep learning auto-segmentation of cervical skeletal muscle for sarcopenia analysis in patients with head and neck cancer
por: Naser, Mohamed A., et al.
Publicado: (2022)