Breast cancer diagnosis using Stochastic Self-Organizing Map and Enlarge C4.5
- 1 December 2022
- journal article
- research article
- Published by Springer Science and Business Media LLC in Multimedia Tools and Applications
- Vol. 82 (12), 18059-18076
- https://doi.org/10.1007/s11042-022-14265-1
Abstract
No abstract availableKeywords
This publication has 27 references indexed in Scilit:
- A novel deep learning based framework for the detection and classification of breast cancer using transfer learningPattern Recognition Letters, 2019
- Detection and characterization of MRI breast lesions using deep learningDiagnostic and Interventional Imaging, 2019
- A guide to deep learning in healthcareNature Medicine, 2019
- Fully automatic and robust segmentation of the clinical target volume for radiotherapy of breast cancer using big data and deep learningPhysica Medica, 2018
- Integrating Feature Selection and Feature Extraction Methods With Deep Learning to Predict Clinical Outcome of Breast CancerIEEE Access, 2018
- Breast cancer data analysis for survivability studies and predictionComputer Methods and Programs in Biomedicine, 2018
- Breast Cancer Classification Using Deep Neural NetworksPublished by Springer Science and Business Media LLC ,2018
- A Multimodal Deep Neural Network for Human Breast Cancer Prognosis Prediction by Integrating Multi-Dimensional DataIEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018
- Her2Net: A Deep Framework for Semantic Segmentation and Classification of Cell Membranes and Nuclei in Breast Cancer EvaluationIEEE Transactions on Image Processing, 2018
- Breast Cancer Prediction systemProcedia Computer Science, 2018