Classification of Normal, Benign and Malignant Tissues Using Co-occurrence Matrix and Bayesian Neural Network in Mammographic Images-Reference-Cited by-同舟云学术

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Classification of Normal, Benign and Malignant Tissues Using Co-occurrence Matrix and Bayesian Neural Network in Mammographic Images

Published:2006-10 Issue: Volume: Page:
ISSN:
Container-title:2006 Ninth Brazilian Symposium on Neural Networks (SBRN'06)
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Author:

O. Martins Leonardo,Dos Santos Alcione,Silva Aristofanes,Paiva Anselmo

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/4026792/4026793/04026805.pdf?arnumber=4026805

Cited by 8 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. Efficient breast cancer mammograms diagnosis using three deep neural networks and term variance;Scientific Reports;2023-02-15

2. A NEW CAD SYSTEM FOR BREAST CANCER CLASSIFICATION USING DISCRIMINATION POWER ANALYSIS OF WAVELET’S COEFFICIENTS AND SUPPORT VECTOR MACHINE;Journal of Mechanics in Medicine and Biology;2020-08

3. Classification of Mammogram Images Using Radial Basis Function Neural Network;Advances in Intelligent Systems and Computing;2019-11-02

4. Diagnosis of breast tissue in mammography images based local feature descriptors;Multimedia Tools and Applications;2018-07-16

5. New Prior Model for Bayesian Neural Networks Learning and Application to Classification of Tissues in Mammographic Images;Advances in Intelligent Systems and Computing;2018-05-15

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