Machine Learning-Based Quality Assurance for Automatic Segmentation of Head-and-Neck Organs-at-Risk in Radiotherapy

Purpose/Objective(s): With the development of deep learning, more convolutional neural networks (CNNs) are being introduced in automatic segmentation to reduce oncologists’ labor requirement. However, it is still challenging for oncologists to spend considerable time evaluating the quality of the co...

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Detalles Bibliográficos
Autores principales: Luan, Shunyao, Xue, Xudong, Wei, Changchao, Ding, Yi, Zhu, Benpeng, Wei, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Novel applications of Artificial Intelligence in cancer research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932790/
https://www.ncbi.nlm.nih.gov/pubmed/36788411
http://dx.doi.org/10.1177/15330338231157936

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932790/
https://www.ncbi.nlm.nih.gov/pubmed/36788411
http://dx.doi.org/10.1177/15330338231157936

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