2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer
Article
Article Title | 2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer |
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ERA Journal ID | 17851 |
Article Category | Article |
Authors | Raghavendra, U., Gudigar, Anjan, Ciaccio, Edward J., Ng, Kwan Hoong, Chan, Wai Yee, Rahmat, Kartini and Acharya, U. Rajendra |
Journal Title | Expert Systems: the journal of knowledge engineering |
Journal Citation | 38 (6) |
Article Number | e12474 |
Number of Pages | 18 |
Year | 2021 |
Publisher | John Wiley & Sons |
Place of Publication | United Kingdom |
ISSN | 0266-4720 |
1468-0394 | |
Digital Object Identifier (DOI) | https://doi.org/10.1111/exsy.12474 |
Web Address (URL) | https://onlinelibrary.wiley.com/doi/10.1111/exsy.12474 |
Abstract | Purpose Methods Results Conclusion |
Keywords | digital breast tomosynthesis; two‐dimensionalsynthesized mammogram (2DSM); texton; gist; full‐field digital mammography (FFDM |
ANZSRC Field of Research 2020 | 400306. Computational physiology |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Manipal Institute of Technology, India |
Columbia University Irving Medical Center, United States | |
University of Malaya, Malaysia | |
Ngee Ann Polytechnic, Singapore | |
Singapore University of Social Sciences (SUSS), Singapore |
https://research.usq.edu.au/item/z1vz8/2dsm-vs-ffdm-a-computeraided-diagnosis-based-comparative-study-for-the-early-detection-of-breast-cancer
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