Image Segmentation in 3D Brachytherapy Using Convolutional LSTM

Purpose The accuracy of the segmentation of the target lesion and at-risk surrounding organs is important for cervical cancer patients treated with three-dimensional (3D) brachytherapy. However, the nature of brachytherapy, organ deformities, metal induced artifacts caused by applicators, and limite...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of medical and biological engineering 2021-10, Vol.41 (5), p.636-651
Hauptverfasser:	Chang, Jui-Hung, Lin, Kai-Hsiang, Wang, Ti-Hao, Zhou, Yu-Kai, Chung, Pau-Choo
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Biological Techniques Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedical Engineering/Biotechnology Biomedicine Bladder Brachytherapy Cancer Cervical cancer Cervix Colon Computed tomography Datasets Deep learning Image processing Image segmentation Long short-term memory Medical imaging Organs Original Article Post-production processing Radiation therapy Rectum Regenerative Medicine/Tissue Engineering Uterus
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!