Three-Dimensional Convolutional Neural Network for Prostate MRI Segmentation and Comparison of Prostate Volume Measurements by Use of Artificial Neural Network and Ellipsoid Formula-Reference-Cited by-同舟云学术

Three-Dimensional Convolutional Neural Network for Prostate MRI Segmentation and Comparison of Prostate Volume Measurements by Use of Artificial Neural Network and Ellipsoid Formula

Published:2020-06 Issue:6 Volume:214 Page:1229-1238
ISSN:0361-803X
Container-title:American Journal of Roentgenology
language:en
Short-container-title:American Journal of Roentgenology

Author:

Lee Dong Kyu¹,Sung Deuk Jae¹,Kim Chang-Su²,Heo Yuk²,Lee Jeong Yoon¹,Park Beom Jin¹,Kim Min Ju¹

Affiliation:

1. Department of Radiology, Anam Hospital, Korea University College of Medicine, 73 Goryeodae-ro, Seongbuk-gu, Seoul 02841, Korea.

2. School of Electrical Engineering, Korea University, Seoul, Korea.

Publisher

American Roentgen Ray Society

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Link

https://www.ajronline.org/doi/pdf/10.2214/AJR.19.22254

Reference28 articles.

1. Importance of prostate volume in the European Randomised Study of Screening for Prostate Cancer (ERSPC) risk calculators: results from the prostate biopsy collaborative group

2. Prediction of Prostate Cancer Risk: The Role of Prostate Volume and Digital Rectal Examination in the ERSPC Risk Calculators

3. Prostate Volume and Pathologic Prostate Cancer Outcomes After Radical Prostatectomy

4. Fully Automated Prostate Segmentation on MRI: Comparison With Manual Segmentation Methods and Specimen Volumes

5. Determination of Prostate Volume

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