A New Image Mining Approach for Detecting Micro-Calcification in Digital Mammograms-Reference-Cited by-同舟云学术

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A New Image Mining Approach for Detecting Micro-Calcification in Digital Mammograms

Published:2017-07-03 Issue:5-6 Volume:31 Page:411-424
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Moradkhani Farzaneh¹,Bigham Bahram Sadeghi²

Affiliation:

1. Industrial Intelligence Research Group, Academic Center of Education Culture & Research (ACECR), Zanjan Branch, Iran

2. Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2017.1378082

Reference9 articles.

1. Texture feature extraction using gray level statistical matrix for content-based mammogram retrieval

2. Characterization of Architectural Distortion in Mammograms Based on Texture Analysis Using Support Vector Machine Classifier with Clinical Evaluation

3. A novel approach for detection and classification of mammographic microcalcifications using wavelet analysis and extreme learning machine

4. Incorporating domain knowledge into medical image clustering

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. Automatic suspicions lesions segmentation based on variable-size windows in mammography images;Health and Technology;2020-11-12

2. Novel Shot Boundary Detection in News Streams Based on Fuzzy Petri Nets;Applied Artificial Intelligence;2019-09-18

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