Deep Learning-Based Mammogram Classification for Breast Cancer Diagnosis Using Multi-level Support Vector Machine-Reference-Cited by-同舟云学术

Deep Learning-Based Mammogram Classification for Breast Cancer Diagnosis Using Multi-level Support Vector Machine

Published:2021 Issue: Volume: Page:371-383
ISSN:1876-1100
Container-title:Advances in Automation, Signal Processing, Instrumentation, and Control
language:
Short-container-title:

Author:

Leena Nesamani S.,Nirmala Sugirtha Rajini S.,Josphine M. S.,Jacinth Salome J.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-15-8221-9_35

Reference15 articles.

1. Stewart CP, Wild BW (2014) International agency for research on cancer. World Health Organization. World cancer report 2014. World Cancer Report 2014. vol 2014, no 1, p 630

2. Das A, Nair MS, Peter SD (2019) Sparse representation over learned dictionaries on the Riemannian manifold for automated grading of nuclear pleomorphism in breast cancer. IEEE Trans Image Process 28(3)

3. www.ncbi.nlm.nih.gov/lpmc/articles/PMC2927383/

4. Xiao Y, Wu J, Lin Z, Zhao X (2018) Breast cancer diagnosis using an unsupervised feature extraction algorithm based on deep learning. In: Proceedings of the 37th Chinese control conference

5. Zeng Y-C (2018) Mammogram density classification using double support vector machines. In: 2018 IEEE 7th global conference on consumer electronics (GCCE 2018)

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Speckle Noise Removal From Biomedical MRI Images and Classification by MSVM;Advances in Medical Diagnosis, Treatment, and Care;2024-06-30

2. Improved Watershed Segmentation and DualNet Deep Learning Classifiers for Breast Cancer Classification;SN Computer Science;2024-04-20

3. Identification of Uterine Cervical Cancer Using CNN Compared to ANFIS Approach on MRI Images;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18

4. A Deep Learning and Feature Optimization-Based Approach for Early Breast Cancer Detection;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24

5. Prediction of Diabetic Retinopathy using Deep Learning with Preprocessing;EAI Endorsed Transactions on Pervasive Health and Technology;2024-02-22