Fully automated prostate whole gland and central gland segmentation on MRI using holistically nested networks with short connections-Reference-Cited by-同舟云学术

Fully automated prostate whole gland and central gland segmentation on MRI using holistically nested networks with short connections

Published:2019-06-05 Issue:02 Volume:6 Page:1
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:
Short-container-title:J. Med. Imag.

Author:

Cheng Ruida¹,Lay Nathan²,Roth Holger R.²,Turkbey Baris³,Jin Dakai²,Gandler William¹,McCreedy Evan S.¹,Pohida Tom⁴,Pinto Peter⁵,Choyke Peter³,McAuliffe Matthew J.¹,Summers Ronald M.²

Affiliation:

1. National Institutes of Health, Center for Information Technology, Image Sciences Laboratory, Bethesd

2. National Institutes of Health Clinical Center, Imaging Biomarkers and Computer-Aided Diagnosis Labor

3. National Cancer Institute, Molecular Imaging Program, Bethesda, Maryland

4. National Institutes of Health, Center for Information Technology, Computational Bioscience and Engin

5. National Cancer Institute, Center for Cancer Research, Urologic Oncology Branch, Bethesda, Maryland

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology, Nuclear Medicine and imaging

Reference33 articles.

1. Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information

2. Fully automated prostate segmentation in 3D MR based on normalized gradient fields cross-correlation initialization and LOGISMOS refinement

3. Prostate Cancer Imaging. Computer-Aided Diagnosis, Prognosis, and Intervention

4. Multifeature Landmark-Free Active Appearance Models: Application to Prostate MRI Segmentation

5. Automated prostate segmentation in whole-body MRI scans for epidemiological studies

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