Detection of Breast Masses in Mammogram Images Using Growing Neural Gas Algorithm and Ripley’s K Function-Reference-Cited by-同舟云学术

Detection of Breast Masses in Mammogram Images Using Growing Neural Gas Algorithm and Ripley’s K Function

Published:2008-05-28 Issue:1-3 Volume:55 Page:77-90
ISSN:1939-8018
Container-title:Journal of Signal Processing Systems
language:en
Short-container-title:J Sign Process Syst Sign Image Video Technol

Author:

de Oliveira Martins Leonardo,Silva Aristófanes Corrêa,de Paiva Anselmo Cardoso,Gattass Marcelo

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modelling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11265-008-0209-3.pdf

Reference31 articles.

1. A.C.S. (2006). Learn about breast cancer. Available at http://www.cancer.org .

2. Instituto Nacional do Câncer—INCA. (2006). Estimativa 2006: Incidência de Câncer no Brasil. Rio de Janeiro: INCA, 2005. Available at http://www.inca.gov.br/estimativa/2006/versaofinal.pdf . Accessed in 19 feb.

3. Instituto Nacional do Câncer—INCA. (2006). Câncer no Brasil: dados dos registros de base populacional, volume 3. Rio de Janeiro: INCA, 2003. Available at http://www.inca.gov.br/regpop/2003/versaofinal.pdf . Accessed in 15 sep.

4. Silva, D. F. (2006). Câncer de mama em mulheres no Maranhão: estudo de sobrevida no centro de assistência de Alta Complexidade em oncologia (CACON) em São Luís. Masters dissertation (Masters in Health Sciences). Federal University of Maranhão.

5. Sampat, P., Markey, M. K., & Bovik, A. C. (2005). Computer-aided detection and diagnosis in mammography. Computer-Aided Detection and Diagnosis in Mammography. Handbook of Image and Video Processing, 2ed.

Cited by 29 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. ViT-MAENB7: An innovative breast cancer diagnosis model from 3D mammograms using advanced segmentation and classification process;Computer Methods and Programs in Biomedicine;2024-12

2. An overview of computer—aided medical image classification;Multimedia Tools and Applications;2024-06-17

3. Medical Image Classification using Deep Learning Techniques: A Review;2023 Second International Conference on Electronics and Renewable Systems (ICEARS);2023-03-02

4. Learning citywide patterns of life from trajectory monitoring;Proceedings of the 30th International Conference on Advances in Geographic Information Systems;2022-11

5. Morphological and Otsu’s Technique Based Mammography Mass Detection and Deep Neural Network Classifier Based Prediction;Traitement du Signal;2022-08-31