Head and Neck Cancer Segmentation in FDG PET Images: Performance Comparison of Convolutional Neural Networks and Vision Transformers

Convolutional neural networks (CNNs) have a proven track record in medical image segmentation. Recently, Vision Transformers were introduced and are gaining popularity for many computer vision applications, including object detection, classification, and segmentation. Machine learning algorithms suc...

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Detalles Bibliográficos
Autores principales: Xiong, Xiaofan, Smith, Brian J., Graves, Stephen A., Graham, Michael M., Buatti, John M., Beichel, Reinhard R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611182/
https://www.ncbi.nlm.nih.gov/pubmed/37888743
http://dx.doi.org/10.3390/tomography9050151

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611182/
https://www.ncbi.nlm.nih.gov/pubmed/37888743
http://dx.doi.org/10.3390/tomography9050151

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