Deep Learning Based Capsule Neural Network Model for Breast Cancer Diagnosis Using Mammogram Images-Reference-Cited by-同舟云学术

Deep Learning Based Capsule Neural Network Model for Breast Cancer Diagnosis Using Mammogram Images

Published:2021-08-02 Issue: Volume: Page:
ISSN:1913-2751
Container-title:Interdisciplinary Sciences: Computational Life Sciences
language:en
Short-container-title:Interdiscip Sci Comput Life Sci

Author:

Kavitha T.,Mathai Paul P.,Karthikeyan C.,Ashok M.,Kohar Rachna,Avanija J.,Neelakandan S.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Computer Science Applications,General Biochemistry, Genetics and Molecular Biology

Link

https://link.springer.com/content/pdf/10.1007/s12539-021-00467-y.pdf

Reference28 articles.

1. Shen L, Margolies LR, Rothstein JH, Fluder E, McBride R, Sieh W (2019) Deep learning to improve breast cancer detection on screening mammography. Sci Rep 9(1):1–12

2. Lehman CD et al (2016) National performance benchmarks for modern screening digital mammography: update from the breast cancer surveillance consortium. Radiol 283:49–58. https://doi.org/10.1148/radiol.2016161174

3. Elter M, Horsch A (2009) CADx of mammographic masses and clustered microcalcifications: a review. Med Phys 36(6):2052–2068. https://doi.org/10.1118/1.3121511

4. Kamalraj R, Ranjith Kumar M, Rao VCS, Anand R, Singh H (2021) Interpretable filter based convolutional neural network (IF-CNN) for glucose prediction and classification using PD-SS algorithm. Measurement. https://doi.org/10.1016/j.measurement.2021.109804

5. Khamparia A, Bharati S, Podder P, Gupta D, Khanna A, Phung TK, Thanh DN (2021) Diagnosis of breast cancer based on modern mammography using hybrid transfer learning. Multidimens Syst Signal Process 32(2):747–765. https://doi.org/10.1007/s11045-020-00756-7

Cited by 111 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. Automated breast cancer diagnosis optimized with higher-order attribute-enhancing heterogeneous graph neural networks using mammogram images;Biomedical Signal Processing and Control;2024-11

2. Next-Generation Diagnostics: The Impact of Synthetic Data Generation on the Detection of Breast Cancer from Ultrasound Imaging;Mathematics;2024-09-11

3. Emerging research trends in artificial intelligence for cancer diagnostic systems: A comprehensive review;Heliyon;2024-09

4. Deep learning approaches to detect breast cancer: a comprehensive review;Multimedia Tools and Applications;2024-08-20

5. Enhancing TNM Staging in Breast Cancer: A Hybrid Approach with CNN, Edge Detection, and Self-Organizing Maps for Improved Accuracy;2024-08-07