2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer-Reference-Cited by-同舟云学术

2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer

Published:2019-11-07 Issue:6 Volume:38 Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Raghavendra U.¹,Gudigar Anjan¹^ORCID,Ciaccio Edward J.²,Ng Kwan Hoong³,Chan Wai Yee³,Rahmat Kartini³,Acharya U. Rajendra⁴⁵⁶

Affiliation:

1. Department of Instrumentation and Control Engineering Manipal Institute of Technology Manipal 576104 India

2. Department of Medicine Columbia University Medical Center New York USA

3. Department of Biomedical Imaging University of Malaya Kuala Lumpur Malaysia

4. Department of Electronics and Computer Engineering, Ngee Ann Polytechnic Clementi 599489 Singapore

5. Department of Biomedical Engineering, School of Science and Technology SUSS University Clementi 599491 Singapore

6. School of Medicine Malaysia

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12474

Reference45 articles.

1. A deep convolutional neural network model to classify heartbeats

2. Breast tomosynthesis and digital mammography: a comparison of breast cancer visibility and BIRADS classification in a population of cancers with subtle mammographic findings

3. K‐Means++: The Advantages of Careful Seeding;Arthur D.;SODA '07 Proceedings Of The Eighteenth Annual ACM‐SIAM Symposium On Discrete Algorithms,2007

4. Eigenfaces vs. Fisherfaces: recognition using class specific linear projection

5. Contrast Detail Phantom Comparison on a Commercially Available Unit. Digital Breast Tomosynthesis (DBT) versus Full-Field Digital Mammography (FFDM)

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