Fulltext
The Authors' name, abstract and full text are available in PDF.
An Innovative Journal in the Field of Radiology
e-ISSN 2008-2711
p-ISSN 1735-1065
Image Credit:I J Radiol
Outline
Neural Network Analysis of Breast Cancer from Mammographic Evaluation
Authors
1Department of Biophysics, Faculty of Science, Tarbiat Modarres University, Tehran, Iran
2Department of Radiology, Medical Imaging Center, Imam Khomeini Hospital, Tehran University of medical sciences, Tehran, Iran
3Department of Biophysics, Tarbiat Modarres University, Tehran, Iran
*Corresponding Author: Corresponding author: Parviz Abdolmaleki, Department of Biophysics, Faculty of Science, Tarbiat Modarres University, Tehran, Iran, Tel: +9821 88009730, Fax: +9821 88011001 Email: parviz@modares.ac.ir
Published online:Sep 30, 2006
Article type:Research Article
Received:Oct 24, 2005
Accepted:Apr 13, 2006
How to Cite:Abdolmaleki P, Guiti M, Tahmasebi M. Neural Network Analysis of Breast Cancer from Mammographic Evaluation. I J Radiol. 2006;3(3):e79007. doi:
Copyright
© 2006, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.
Similar Articles
30
Apr
2024
Automatic Classification of Cancerous Masses in Digital Mammograms Using Curvelet Analysis and Hybrid Genetic Algorithm-Artificial Neural Network Model
Fereshteh Torabi Jafroudi,
Azadeh Kiani-Sarkaleh,
Mahyar Nirouei
Torabi Jafroudi F, Kiani-Sarkaleh A, Nirouei M. Automatic Classification of Cancerous Masses in Digital Mammograms Using Curvelet Analysis and Hybrid Genetic Algorithm-Artificial Neural Network Model. I J Radiol. 2024;21(2):e146102. doi: https://doi.org/10.5812/iranjradiol-146102
25
Apr
2022
Microcalcification Detection in Mammograms Using Deep Learning
Mahmoud Shiri Kahnouei,
Masoumeh Giti,
Mohammad Ali Akhaee,
Ali Ameri
Shiri Kahnouei M, Giti M, Akhaee MA, Ameri A. Microcalcification Detection in Mammograms Using Deep Learning. I J Radiol. 2022;19(1):e120758. doi: https://doi.org/10.5812/iranjradiol-120758
22
Jul
2015
Ensemble Supervised Classification Method Using the Regions of Interest and Grey Level Co-Occurrence Matrices Features for Mammograms Data
Hossein Yousefibanaem,
Alireza Mehri Dehnavi,
Makhtum Shahnazi
Yousefibanaem H, Mehri Dehnavi A, Shahnazi M. Ensemble Supervised Classification Method Using the Regions of Interest and Grey Level Co-Occurrence Matrices Features for Mammograms Data. I J Radiol. 2015;12(3):e91069. doi: https://doi.org/10.5812/iranjradiol.11656
30
Jun
2012
Comparing the Performance of Image Enhancement Methods to Detect Microcalcification Clusters in Digital Mammography
Hajar Moradmand,
Saeed Setayeshi,
Ali Reza Karimian,
Mehri Sirous,
Mohammad Esmaeil Akbari
Moradmand H, Setayeshi S, Karimian AR, Sirous M, Akbari ME. Comparing the Performance of Image Enhancement Methods to Detect Microcalcification Clusters in Digital Mammography. Int J Cancer Manag. 2012;5(2):e80801. doi:
10
Dec
2019
A Deep Learning-Based Approach for Breast BI-RADS Prediction on Shear Wave Elastography Images
Ali Shabanzadeh,
Shakiba Moradi,
Parvaneh (Masoumeh) Gity,
Mostafa Ghelich Oghli
Shabanzadeh A, Moradi S, Gity P(, Ghelich Oghli M. A Deep Learning-Based Approach for Breast BI-RADS Prediction on Shear Wave Elastography Images. I J Radiol. 2019;16(Special Issue):e99141. doi: https://doi.org/10.5812/iranjradiol.99141
Cited by
- Scopus by DOI: 0
Last Update: 0 months ago
- Scopus by Title: 0
Last Update: 0 months ago
- Scopus by Title (Ref): 2
Last Update: 0 months ago
- CrossRef: 0
Last Update: 1 day ago
- OpenAlex: 0
Last Update: 1 day ago
- OpenCitations: 0
Last Update: 5 days ago
Comments
Number of Comments:0