Analysis of Feature Extraction Algorithm Using Two Dimensional Discrete Wavelet Transforms in Mammograms to Detect Microcalcifications-Reference-Cited by-同舟云学术

Analysis of Feature Extraction Algorithm Using Two Dimensional Discrete Wavelet Transforms in Mammograms to Detect Microcalcifications

Published:2020 Issue: Volume: Page:26-39
ISSN:2194-5357
Container-title:Computational Vision and Bio-Inspired Computing
language:
Short-container-title:

Author:

Bose Subash Chandra,Veerasamy Murugesh,Mubarakali Azath,Marina Ninoslav,Hadzieva Elena

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-37218-7_4

Reference28 articles.

1. World Health Organization: Cancer incidence, mortality and survival by site for 14 regions of the world

2. Bose, J.S.C., Shankar Kumar, K.R.: Detection of micro classification in mammograms using soft computing techniques. Eur. J. Sci. Res. 86(1), 103–122 (2012)

3. Li, H., et al.: Markov random field for tumor detection in digital mammography. IEEE Trans. Med. Imaging 14(3), 565–576 (1995)

4. Vega-Corona, A., Álvarez, A., Andina, D.: Feature vectors generation for detection of micro calcifications in digitized mammography using neural networks. In: Artificial Neural Nets Problem Solving Methods, LNCS, vol. 2687, pp. 583–590 (2003)

5. D’Elia, C., Marrocco, C., Molinara, M., Poggi, G., Scarpa, G., Tortorella, F.: Detection of microcalcifications clusters in mammograms through TS-MRF segmentation and SVM-based classification. In: 17th International Conference on Pattern Recognition (2004)

Cited by 7 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. Convolutional Neural Network Detection and Classification of Blood Cell Images from Thin Blood Smear for the Presence of Malarial Parasite;2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS);2023-10-27

2. Detection and classification of dermatoscopic images using segmentation and transfer learning;Multimedia Tools and Applications;2023-02-21

3. Harmony Gradient Boosting Random Forest Machine Learning Algorithms for Sentiment Classification;2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC);2022-12-15

4. Comparative Analysis of an Efficient Image Denoising Method for Wireless Multimedia Sensor Network Images in Transform Domain;September 2021;2021-09-23

5. Robust Classification Technique for Hyperspectral Images Based on 3D-Discrete Wavelet Transform;Remote Sensing;2021-03-25