IJ Radiology
An Innovative Journal in the Field of Radiology
Scopus by Title (Ref)
1. A systematic literature review on mammography: deep learning techniques for breast cancer detection with global and Asian perspectives
- Amin A. , et al.
2. MACHINE LEARNING-BASED MICROCALCIFICATION DETECTION FROM MAMMOGRAMS: FORMER TECHNIQUES AND CHALLENGES, FUTURE RESEARCH TRENDS
- Anitha J. , et al.
3. Residual shallow convolutional neural network to classify microcalcifications clusters in digital mammograms
- Luna Lozoya R.S. , et al.
4. Mass and Microcalcification Detection in Mammograms: A Deep Learning Perspective on Breast Cancer Classification
- Joshi P.T. , et al.
5. A Comprehensive Review of Datasets and Preprocessing Techniques in Deep Learning-Based Breast Cancer Classification
- Akhter S. , et al.
6. A Comparative Analysis of CNN Architectures and Regularization Techniques for Breast Cancer Classification in Mammograms
- Vijetha K.J. , et al.
7. Lightweight CNN for Detecting Microcalcifications Clusters in Digital Mammograms
- Luna-Lozoya R.S. , et al.
8. Enhancing early breast cancer diagnosis through automated microcalcification detection using an optimized ensemble deep learning framework
- Teoh J.R. , et al.
9. Detection of Microcalcifications in Mammograms Using Algorithmic Filtering and Region-Based Neural Networks
- Hadhazi D. , et al.
10. High Accuracy Microcalcifications Detection of Breast Cancer Using Wiener LTI Tophat Model
- Jamil R. , et al.
11. Deep Learning Mammography Classification with a Small Set of Data
- Michael E. , et al.
12. Preparation of Patient Mammogram Images for Segmentation
- Ugwueke E.C. , et al.