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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Vydané v:	Physics in medicine & biology Ročník 67; číslo 7
Hlavní autori:	Orlando, Nathan, Gyacskov, Igor, Gillies, Derek J, Guo, Fumin, Romagnoli, Cesare, D’Souza, David, Cool, Derek W, Hoover, Douglas A, Fenster, Aaron
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England IOP Publishing 07.04.2022
Predmet:	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
On-line prístup:	Získať plný text
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