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

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...

Full description

Bibliographic Details
Main Authors: Xiaofan Xiong, Brian J. Smith, Stephen A. Graves, Michael M. Graham, John M. Buatti, Reinhard R. Beichel
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Tomography
Subjects:
head and neck cancer
segmentation
FDG PET
CNN
Vision Transformer
Online Access:https://www.mdpi.com/2379-139X/9/5/151

Internet

https://www.mdpi.com/2379-139X/9/5/151

Similar Items