Data Engineering for Machine Learning in Women's Imaging and Beyond-Reference-Cited by-同舟云学术

Data Engineering for Machine Learning in Women's Imaging and Beyond

Published:2019-07 Issue:1 Volume:213 Page:216-226
ISSN:0361-803X
Container-title:American Journal of Roentgenology
language:en
Short-container-title:American Journal of Roentgenology

Author:

Cui Chen¹,Chou Shinn-Huey S.²,Brattain Laura¹³,Lehman Constance D.²,Samir Anthony E.¹

Affiliation:

1. Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, Boston, MA 02114.

2. Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.

3. Bioengineering and System Technologies, MIT Lincoln Laboratory, Lexington, MA.

Publisher

American Roentgen Ray Society

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Link

https://www.ajronline.org/doi/pdf/10.2214/AJR.18.20464

Reference62 articles.

1. Machine learning and radiology

2. Image analysis and machine learning in digital pathology: Challenges and opportunities

3. Machine learning for medical diagnosis: history, state of the art and perspective

4. Predicting the Future — Big Data, Machine Learning, and Clinical Medicine

5. Automatic detection of breast cancers in mammograms using structured support vector machines

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