An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects
Author:
Affiliation:
1. Department of Radiology, NYU Langone Health, New York, NY, USA
2. Faculty of Mathematics and Computer Science, Jagiellonian University, Kraków, Poland
3. Center for Data Science, New York University, New York, NY, USA
Funder
National Institutes of Health
National Science Foundation
Gordon and Betty Moore Foundation
Polish National Science Center
Polish National Agency for Academic Exchange
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software
Link
https://ieeexplore.ieee.org/ielam/42/10379496/10223434-aam.pdf
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3. Effectiveness of Digital Breast Tomosynthesis Compared With Digital Mammography
4. Breast Cancer Screening Using Tomosynthesis and Digital Mammography in Dense and Nondense Breasts
5. Association of Digital Breast Tomosynthesis vs Digital Mammography With Cancer Detection and Recall Rates by Age and Breast Density
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