Automated Detection of Brain Metastases on <scp>T1</scp> ‐Weighted <scp>MRI</scp> Using a Convolutional Neural Network: Impact of Volume Aware Loss and Sampling Strategy-Reference-Cited by-同舟云学术

Automated Detection of Brain Metastases on T1 ‐Weighted MRI Using a Convolutional Neural Network: Impact of Volume Aware Loss and Sampling Strategy

Published:2022-05-27 Issue:6 Volume:56 Page:1885-1898
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:Magnetic Resonance Imaging

Author:

Chartrand Gabriel¹,Emiliani Ramón D.¹,Pawlowski Sophie A.¹,Markel Daniel A.²,Bahig Houda²,Cengarle‐Samak Alexandre³,Rajakesari Selvan⁴,Lavoie Jeremi¹,Ducharme Simon¹⁵⁶^ORCID,Roberge David²

Affiliation:

1. AFX Medical Inc. Montréal Canada

2. Department of Radiation Oncology Centre Hospitalier de l'Université de Montréal Montréal Québec Canada

3. Department of Radiology CIUSSS de l'Est‐de‐l'Ile de Montréal Montréal Canada

4. Department of Radiation Oncology Hopital Charles Lemoyne Greenfield Park Québec Canada

5. Department of Psychiatry Douglas Mental Health University Institute, McGill University Montréal Canada

6. McConnell Brain Imaging Centre Montreal Neurological Institute, McGill University Montréal Canada

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.28274

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5. Stereotactic Radiosurgery for Postoperative Metastatic Surgical Cavities: A Critical Review and International Stereotactic Radiosurgery Society (ISRS) Practice Guidelines

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