Histopathological Imaging Classification of Breast Tissue for Cancer Diagnosis Support Using Deep Learning Models-Reference-Cited by-同舟云学术

Histopathological Imaging Classification of Breast Tissue for Cancer Diagnosis Support Using Deep Learning Models

Published:2022 Issue: Volume: Page:152-164
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
Short-container-title:

Author:

Nguyen Tat-Bao-Thien,Ngo Minh-Vuong,Nguyen Van-Phong

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-08878-0_11

Reference20 articles.

1. Ministry of health portal. https://moh.gov.vn/hoat-dong-cua-dia-phuong/-/asset_publisher/gHbla8vOQDuS/content/tinh-hinh-ung-thu-tai-viet-nam. Accessed 21 Nov 2021

2. Lowe, D.G.: Object recognition from local scale-invariant features. In: Proceedings of the Seventh IEEE International Conference on Computer Vision (1999)

3. Haralick, R.M., Shanmugam, K. Dinstein, I.: Textural features for image classification. IEEE Trans. Syst. Man Cybern. SMC-3(6), 610–621 (1973)

4. Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005) (2005)

5. Zhang, Y., et al.: One-class kernel subspace ensemble for medical image classification. EURASIP J. Adv. Signal Process. 2014(1), 17 (2014)

Cited by 3 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. Effective Classification for Logs of Routers Based on MLP Neural Networks;2023 15th International Conference on Knowledge and Systems Engineering (KSE);2023-10-18

2. Evolution of LiverNet 2.x: Architectures for automated liver cancer grade classification from H&E stained liver histopathological images;Multimedia Tools and Applications;2023-05-15

3. SAMS-Net: Fusion of attention mechanism and multi-scale features network for tumor infiltrating lymphocytes segmentation;Mathematical Biosciences and Engineering;2022