| For: | de Oliveira JEE, Araújo AA, Deserno TM. Content-based image retrieval applied to BI-RADS tissue classification in screening mammography. World J Radiol 2011; 3(1): 24-31 [PMID: 21286492 DOI: 10.4329/wjr.v3.i1.24] |
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| URL: | https://www.wjgnet.com/1949-8470/full/v3/i1/24.htm |
| Number | Citing Articles |
| 1 |
Rajeshwari S. Patil, Nagashettappa Biradar. Improved region growing segmentation for breast cancer detection: progression of optimized fuzzy classifier. International Journal of Intelligent Computing and Cybernetics 2020; 13(2) doi: 10.1108/IJICC-10-2019-0116
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| 2 |
Abdelali Elmoufidi, Khalid El Fahssi, Said Jai‐andaloussi, Abderrahim Sekkaki, Quellec Gwenole, Mathieu Lamard. Anomaly classification in digital mammography based on multiple‐instance learning. IET Image Processing 2018; 12(3) doi: 10.1049/iet-ipr.2017.0536
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| 3 |
Gwenole Quellec, Mathieu Lamard, Michel Cozic, Gouenou Coatrieux, Guy Cazuguel. Multiple-Instance Learning for Anomaly Detection in Digital Mammography. IEEE Transactions on Medical Imaging 2016; 35(7) doi: 10.1109/TMI.2016.2521442
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| 4 |
Jyotismita Chaki, Nilanjan Dey. Data Tagging in Medical Images: A Survey of the State-of-Art. Current Medical Imaging Formerly Current Medical Imaging Reviews 2021; 16(10) doi: 10.2174/1573405616666200218130043
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| 5 |
Shaila Chugh, Saurabh Sharma, Sunil Phulre, M. Zahid Alam, Shubham Sharma, Manish Rai, Sanjay Kumar Tehariya. Hybrid mammogram mass segmentation and classification using efficient handcrafted features and ensemble learning. Discover Computing 2026; 29(1) doi: 10.1007/s10791-026-10387-4
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| 6 |
Reza Majidpourkhoei, Mehdi Alilou, Kambiz Majidzadeh, Amin Babazadehsangar. A novel deep learning framework for lung nodule detection in 3d CT images. Multimedia Tools and Applications 2021; 80(20) doi: 10.1007/s11042-021-11066-w
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| 7 |
Shubhi Sharma, Pritee Khanna. Computer-Aided Diagnosis of Malignant Mammograms using Zernike Moments and SVM. Journal of Digital Imaging 2015; 28(1) doi: 10.1007/s10278-014-9719-7
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| 8 |
Aditya A. Shastri, Deepti Tamrakar, Kapil Ahuja. Density-wise two stage mammogram classification using texture exploiting descriptors. Expert Systems with Applications 2018; 99 doi: 10.1016/j.eswa.2018.01.024
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| 9 |
Thomas Christy Bobby, Swaminathan Ramakrishnan. Swarm, Evolutionary, and Memetic Computing. Lecture Notes in Computer Science 2012; 7677 doi: 10.1007/978-3-642-35380-2_69
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| 10 |
D. Saranyaraj, R. Vaisshale, R. NandhaKishore. International Conference on Innovative Computing and Communications. Lecture Notes in Networks and Systems 2023; 703 doi: 10.1007/978-981-99-3315-0_18
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| 11 |
Luiz A. P. Neves, Gilson A. Giraldi. Topics in Medical Image Processing and Computational Vision. Lecture Notes in Computational Vision and Biomechanics 2013; 8 doi: 10.1007/978-94-007-0726-9_3
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| 12 |
Xiaorong Li, Yunliang Qi, Meng Lou, Wenwei Zhao, Jie Meng, Wenjun Zhang, Yide Ma. Breast density measurement methods on mammograms: a review. Multimedia Systems 2022; 28(6) doi: 10.1007/s00530-022-00955-1
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| 13 |
Thomas Deserno, Michael Soiron, Julia Oliveira, Arnaldo Araujo. Towards Computer-Aided Diagnostics of Screening Mammography Using Content-Based Image Retrieval. 2011 24th SIBGRAPI Conference on Graphics, Patterns and Images 2011; doi: 10.1109/SIBGRAPI.2011.40
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| 14 |
Siti Salmah Yasiran, Shaharuddin Salleh, Rozi Mahmud. Haralick texture and invariant moments features for breast cancer classification. 2016; 1750 doi: 10.1063/1.4954535
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| 15 |
Fatima Ghazi, Aziza Benkuider, Mohamed Zraidi, Fouad Ayoub, Khalil Ibrahimi. Neighborhood Feature Extraction and Haralick Attributes for Medical Image Analysis: Application to Breast Cancer Mammography Image. 2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM) 2023; doi: 10.1109/WINCOM59760.2023.10323028
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| 16 |
D Saranyaraj. Image De-noising and Edge Segmentation using Bilateral Filtering and Gabor-cut for Edge Representation of a Breast Tumor. 2022 International Conference on Engineering and Emerging Technologies (ICEET) 2022; doi: 10.1109/ICEET56468.2022.10007228
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| 17 |
Omid Rahmani Seryasat, Javad Haddadnia. Evaluation of a New Ensemble Learning Framework for Mass Classification in Mammograms. Clinical Breast Cancer 2018; 18(3) doi: 10.1016/j.clbc.2017.05.009
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| 18 |
Xiaonan Gong, Zhen Yang, Deyuan Wang, Yunliang Qi, Yanan Guo, Yide Ma. Breast density analysis based on glandular tissue segmentation and mixed feature extraction. Multimedia Tools and Applications 2019; 78(22) doi: 10.1007/s11042-019-07917-2
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| 19 |
Keith Chikamai, Serestina Viriri, Jules-Raymond Tapamo. Mammogram content-based image retrieval based on malignancy classification. Intelligent Data Analysis 2017; 21(5) doi: 10.3233/IDA-163101
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| 20 |
Samaneh Aminikhanghahi, Sung Shin, Wei Wang, Soon I. Jeon, Seong H. Son. A new fuzzy Gaussian mixture model (FGMM) based algorithm for mammography tumor image classification. Multimedia Tools and Applications 2017; 76(7) doi: 10.1007/s11042-016-3605-x
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| 21 |
C. Mata, A. Oliver, A. Lalande, P. Walker, J. Martí. On the Use of XML in Medical Imaging Web-Based Applications. IRBM 2017; 38(1) doi: 10.1016/j.irbm.2016.10.001
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| 22 |
Fatima Ghazi, Aziza Benkuider, Fouad Ayoub, Khalil Ibrahimi. Selection of the Discriming Feature Using the BEMD’s BIMF for Classification of Breast Cancer Mammography Image. BioMedInformatics 2024; 4(2) doi: 10.3390/biomedinformatics4020066
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