Effect of dataset size, image quality, and image type on deep learning-based automatic prostate segmentation in 3D ultrasound

Three-dimensional (3D) transrectal ultrasound (TRUS) is utilized in prostate cancer diagnosis and treatment, necessitating time-consuming manual prostate segmentation. We have previously developed an automatic 3D prostate segmentation algorithm involving deep learning prediction on radially sampled...

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Veröffentlicht in:	Physics in medicine & biology Jg. 67; H. 7
Hauptverfasser:	Orlando, Nathan, Gyacskov, Igor, Gillies, Derek J, Guo, Fumin, Romagnoli, Cesare, D’Souza, David, Cool, Derek W, Hoover, Douglas A, Fenster, Aaron
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England IOP Publishing 07.04.2022
Schlagworte:	3D ultrasound prostate segmentation biopsy brachytherapy Deep Learning Humans image quality Male Pelvis Prostate - diagnostic imaging prostate cancer Prostatic Neoplasms - diagnostic imaging small dataset Ultrasonography deep learning image quality prostate cancer small dataset 3D ultrasound prostate segmentation biopsy brachytherapy
ISSN:	1361-6560, 1361-6560
Online-Zugang:	Volltext
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