Characterization of mammographic masses based on local photometric attributes-Reference-Cited by-同舟云学术

Characterization of mammographic masses based on local photometric attributes

Published:2020-05-15 Issue:29-30 Volume:79 Page:21967-21985
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Rabidas Rinku,Arif Wasim

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-020-08959-7.pdf

Reference46 articles.

1. (ACS) A.C.S Global cancer facts and figures. http://www.cancer.org/acs/groups/content/@research/documents/document/acspc-044738.pdf (accessed on October 2016) (3rd Edition 2016)

2. Bowyer K, Moore R, Heath MD, Kegelmeyer WP (2001) Digital database for screening mammography. In: Proceedings of the Fifth International Workshop on Digital Mammography. Medical Physics Publishing

3. Breiman L (2005) Random forests. Mach Learn 45(1):5–32

4. Bojar K, Nieniewski M (2008) New features for classification of cancerous masses in mammograms based on morphological dilation. In: 5th International Conference on Visual Information Engineering, (VIE), pp 111–116

5. Buciu I, Gacsadi A (2011) Directional features for automatic tumor classification of mammogram images. Biomed Signal Process Control 6:370–378

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. A Review on Breast Cancer Detection for Digital Mammograms;Algorithms for Intelligent Systems;2024

2. An augmented mammogram image dataset and its performance analysis for various classification models;Multimedia Tools and Applications;2023-03-01

3. Integration of Global and Local Descriptors for Mass Characterization in Mammograms;Procedia Computer Science;2023

4. Radon Transformation-Based Mammogram Image Classification;Lecture Notes in Electrical Engineering;2023

5. Modified Differential Box Counting in Breast Masses for Bioinformatics Applications;Computers, Materials & Continua;2022