Mammogram Pectoral Muscle Removal Using Fuzzy C-Means ROI Clustering and MS-CNN Based Multi Classification-Reference-Cited by-同舟云学术

Mammogram Pectoral Muscle Removal Using Fuzzy C-Means ROI Clustering and MS-CNN Based Multi Classification

Published:2022-12 Issue: Volume: Page:170465
ISSN:0030-4026
Container-title:Optik
language:en
Short-container-title:Optik

Author:

Girija O K,Elayidom Sudheep

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference42 articles.

1. Wang, Chu-ran, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, and Yizhou Wang. "Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification." arXiv preprint arXiv:2009.14406 (2020).

2. Changfa Xia, Xuesi Dong, He Li, Maomao Cao, Dianqin Sun, Siyi He, Fan Yang, Xinxin Yan, Shaoli Zhang, Ni Li, and Wanqing Chen, Cancer statistics in China and United States, 2022: profiles, trends, and determinants. Chin Med J, 2022.

3. Awareness of link between obesity and breast cancer risk is associated with willingness to participate in weight loss intervention;Burkbauer;Breast Cancer Research and Treatment,2022

4. Breast cancer diagnosis using thermography and convolutional neural networks";Ekici;Medical Hypotheses,2020

5. "Recent Trends in Medical Imaging Modalities and Challenges For Diagnosing Breast Cancer." Biomedical and Pharmacology;Anandhamala;Journal 11,2018

Cited by 2 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. Breast Tumor Classification with Enhanced Transfer Learning Features and Selection Using Chaotic Map-Based Optimization;International Journal of Computational Intelligence Systems;2024-02-01

2. BC2NetRF: Breast Cancer Classification from Mammogram Images Using Enhanced Deep Learning Features and Equilibrium-Jaya Controlled Regula Falsi-Based Features Selection;Diagnostics;2023-03-25