Three-dimensional U-Net Convolutional Neural Network for Detection and Segmentation of Intracranial Metastases-Reference-Cited by-同舟云学术

Three-dimensional U-Net Convolutional Neural Network for Detection and Segmentation of Intracranial Metastases

Published:2021-05-01 Issue:3 Volume:3 Page:e200204
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Rudie Jeffrey D.¹^ORCID,Weiss David A.¹^ORCID,Colby John B.¹,Rauschecker Andreas M.¹^ORCID,Laguna Benjamin¹^ORCID,Braunstein Steve¹,Sugrue Leo P.¹^ORCID,Hess Christopher P.¹^ORCID,Villanueva-Meyer Javier E.¹^ORCID

Affiliation:

1. From the Department of Radiology and Biomedical Imaging, University of California, San Francisco, 513 Parnassus Ave, San Francisco, CA 94143.

Publisher

Radiological Society of North America (RSNA)

Subject

General Medicine

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.2021200204

Reference20 articles.

1. Updates in the management of brain metastases

2. Utilization of volumetric magnetic resonance imaging for baseline and surveillance imaging in Neuro-oncology

3. Computer-aided detection of metastatic brain tumors using automated three-dimensional template matching

4. Brain metastases detection on MR by means of three-dimensional tumor-appearance template matching

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